From 5a62016295789ab4c57904609ef1612a2a14a230 Mon Sep 17 00:00:00 2001
From: Martin Wendt <mar10@wwwendt.de>
Date: Fri, 27 Dec 2024 23:08:33 +0100
Subject: [PATCH] Feature/benchman (#17)

* Update the jupyter notebook
* Cleanup
* use standalone benchman
* Drop Python 3.8 support (typing)
* Store name in setup.cfg (not setup.py)
* tox_benchmarks.ini
* Create baseline
* Add benchmarks
* Update tests.yml
---
 .../nutree.61bdee7c56e0e5f7.base.bench.json   | 1535 +++++++++++++++++
 .github/workflows/tests.yml                   |    2 +-
 .gitignore                                    |    1 +
 CHANGELOG.md                                  |    1 +
 Pipfile                                       |    3 +-
 Pipfile.lock                                  | 1319 +++++++-------
 docs/jupyter/tutorial.ipynb                   |  310 ++++
 docs/sphinx/ug_benchmarks.md                  |  157 ++
 docs/sphinx/user_guide.rst                    |    1 +
 nutree/common.py                              |   21 +-
 nutree/dot.py                                 |    3 +-
 nutree/mermaid.py                             |    3 +-
 nutree/node.py                                |    3 +-
 nutree/tree.py                                |    6 +-
 nutree/tree_generator.py                      |    3 +-
 nutree/typed_tree.py                          |   19 +-
 pyproject.toml                                |    9 +-
 setup.cfg                                     |    3 +-
 setup.py                                      |    2 +-
 tests/conftest.py                             |    9 +
 tests/fixture.py                              |    4 +-
 tests/pytest.ini                              |    8 +-
 tests/test_bench.py                           |  324 ++--
 tests/test_serialize.py                       |    4 +-
 tests/test_typing_concept.py                  |    6 +-
 tox.ini                                       |   44 +-
 tox_benchmarks.ini                            |   44 +
 27 files changed, 2935 insertions(+), 909 deletions(-)
 create mode 100644 .benchman/nutree.61bdee7c56e0e5f7.base.bench.json
 create mode 100644 docs/jupyter/tutorial.ipynb
 create mode 100644 docs/sphinx/ug_benchmarks.md
 create mode 100644 tox_benchmarks.ini

diff --git a/.benchman/nutree.61bdee7c56e0e5f7.base.bench.json b/.benchman/nutree.61bdee7c56e0e5f7.base.bench.json
new file mode 100644
index 0000000..ff15f93
--- /dev/null
+++ b/.benchman/nutree.61bdee7c56e0e5f7.base.bench.json
@@ -0,0 +1,1535 @@
+{
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+    "hardware": "arm64_16_GB",
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+    "system": "Darwin_24.1.0",
+    "tag": "latest",
+    "version": "0.11.2a1"
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+      "variant": "find_all()"
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+      "start_time": 435938.531829416,
+      "timings": [
+        3.1441087502753364e-06,
+        2.553851249977015e-06,
+        2.558372079511173e-06,
+        2.5611616601236164e-06,
+        2.573229999979958e-06
+      ],
+      "variant": "for _ in tree: ..."
+    },
+    {
+      "elap": 2.503180624999999,
+      "iterations": 200000,
+      "name": "iterate",
+      "python": "3.9.20",
+      "sample_size": 8,
+      "start_time": 16.480977666,
+      "timings": [
+        1.787901250000008e-06,
+        1.7882185399999884e-06,
+        1.7760841650000003e-06,
+        1.7891391649999911e-06,
+        1.7777964600000119e-06
+      ],
+      "variant": "for _ in tree.iterator(LEVEL_ORDER): ..."
+    },
+    {
+      "elap": 2.4190120000275783,
+      "iterations": 200000,
+      "name": "iterate",
+      "python": "3.13.0rc3+",
+      "sample_size": 8,
+      "start_time": 435947.603550041,
+      "timings": [
+        1.7283818751457147e-06,
+        1.7477204150054605e-06,
+        1.740352289925795e-06,
+        1.7490047949831932e-06,
+        1.7397760399035178e-06
+      ],
+      "variant": "for _ in tree.iterator(RANDOM_ORDER): ..."
+    },
+    {
+      "elap": 1.6821404999999992,
+      "iterations": 500000,
+      "name": "iterate",
+      "python": "3.9.20",
+      "sample_size": 8,
+      "start_time": 24.88694325,
+      "timings": [
+        4.913080840000034e-07,
+        4.967719180000004e-07,
+        5.036882499999962e-07,
+        4.956293320000001e-07,
+        4.95182333999999e-07
+      ],
+      "variant": "for _ in tree.iterator(UNORDERED): ..."
+    },
+    {
+      "elap": 0.1938899999950081,
+      "iterations": 1,
+      "name": "serialize_load",
+      "python": "3.12.6",
+      "sample_size": 1,
+      "start_time": 435957.323216375,
+      "timings": [
+        0.16737300000386313
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+      "variant": "ZIP_LZMA ('.lzma')"
+    },
+    {
+      "elap": 1.495163333020173,
+      "iterations": 100000,
+      "name": "iterate",
+      "python": "3.11.10",
+      "sample_size": 8,
+      "start_time": 435936.800559958,
+      "timings": [
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+        2.1572004200425e-06,
+        2.1612608298892157e-06,
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+      ],
+      "variant": "for _ in tree: ..."
+    },
+    {
+      "elap": 0.3777089170180261,
+      "iterations": 1,
+      "name": "serialize_save",
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+      "sample_size": 1,
+      "start_time": 435955.402499541,
+      "timings": [
+        0.37755354098044336
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+      "variant": "ZIP_BZIP2 ('.bz2')"
+    },
+    {
+      "elap": 1.492943125020247,
+      "iterations": 100000,
+      "name": "iterate",
+      "python": "3.11.10",
+      "sample_size": 8,
+      "start_time": 435942.0376405,
+      "timings": [
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+        2.142948330147192e-06
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+      "variant": "for _ in tree.iterator(PRE_ORDER): ..."
+    },
+    {
+      "elap": 0.2068745830329135,
+      "iterations": 1,
+      "name": "serialize_load",
+      "python": "3.13.0rc3+",
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+      "variant": "ZIP_BZIP2 ('.bz2')"
+    },
+    {
+      "elap": 2.086841624986846,
+      "iterations": 2000000,
+      "name": "search",
+      "python": "3.13.0rc3+",
+      "sample_size": 8,
+      "start_time": 435931.689693916,
+      "timings": [
+        1.4848029147833585e-07,
+        1.4840583348996006e-07,
+        1.6297093752655202e-07,
+        1.4845862501533702e-07,
+        1.4774620800744742e-07
+      ],
+      "variant": "find_all()"
+    },
+    {
+      "elap": 2.70733179198578,
+      "iterations": 5000000,
+      "name": "access node.data",
+      "python": "3.10.15",
+      "sample_size": 1,
+      "start_time": 435933.767454041,
+      "timings": [
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+        8.021862499881536e-08,
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+      ],
+      "variant": "node.data (property)"
+    },
+    {
+      "elap": 0.5936122090206482,
+      "iterations": 1,
+      "name": "serialize_save",
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+      "start_time": 435954.975603166,
+      "timings": [
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+      "variant": "ZIP_LZMA ('.lzma')"
+    },
+    {
+      "elap": 2.09840587497456,
+      "iterations": 200000,
+      "name": "iterate",
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+      "timings": [
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+      "variant": "for _ in tree.iterator(PRE_ORDER): ..."
+    },
+    {
+      "elap": 1.4672455409890972,
+      "iterations": 100000,
+      "name": "iterate",
+      "python": "3.13.0rc3+",
+      "sample_size": 8,
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+        2.1205537498462947e-06,
+        2.0881470799213276e-06
+      ],
+      "variant": "for _ in tree.iterator(POST_ORDER): ..."
+    },
+    {
+      "elap": 1.8323127499999998,
+      "iterations": 100000,
+      "name": "iterate",
+      "python": "3.9.20",
+      "sample_size": 8,
+      "start_time": 14.648176,
+      "timings": [
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+        2.675879170000002e-06,
+        2.6663029199999854e-06
+      ],
+      "variant": "for _ in tree.iterator(): ..."
+    },
+    {
+      "elap": 0.3528744580000023,
+      "iterations": 1,
+      "name": "serialize_save",
+      "python": "3.9.20",
+      "sample_size": 1,
+      "start_time": 29.673738458,
+      "timings": [
+        0.3527137499999995
+      ],
+      "variant": "ZIP_BZIP2 ('.bz2')"
+    },
+    {
+      "elap": 1.7249543750076555,
+      "iterations": 500000,
+      "name": "search",
+      "python": "3.10.15",
+      "sample_size": 8,
+      "start_time": 435928.596118125,
+      "timings": [
+        5.456825819564983e-07,
+        5.54217666038312e-07,
+        4.884732500649989e-07,
+        4.87423583981581e-07,
+        4.873494160128757e-07
+      ],
+      "variant": "by index"
+    },
+    {
+      "elap": 0.25318749999999923,
+      "iterations": 1,
+      "name": "serialize_load",
+      "python": "3.9.20",
+      "sample_size": 1,
+      "start_time": 29.420049375,
+      "timings": [
+        0.208984375
+      ],
+      "variant": "ZIP_DEFLATED ('.zip')"
+    },
+    {
+      "elap": 0.3441679999814369,
+      "iterations": 1,
+      "name": "serialize_save",
+      "python": "3.10.15",
+      "sample_size": 1,
+      "start_time": 435954.821688333,
+      "timings": [
+        0.3440127090434544
+      ],
+      "variant": "ZIP_DEFLATED ('.zip')"
+    }
+  ],
+  "tag": "base"
+}
\ No newline at end of file
diff --git a/.github/workflows/tests.yml b/.github/workflows/tests.yml
index 42faaf7..c8e6468 100644
--- a/.github/workflows/tests.yml
+++ b/.github/workflows/tests.yml
@@ -41,7 +41,7 @@ jobs:
           sudo apt-get install graphviz
           python -V
           python -m pip install --upgrade pip
-          python -m pip install pydot pytest pytest-cov pytest-html rdflib ruff
+          python -m pip install benchman pydot pytest pytest-cov pytest-html rdflib ruff
           # if [ -f requirements.txt ]; then pip install -r requirements.txt; fi
           python -m pip install -e .
           python -m pip list
diff --git a/.gitignore b/.gitignore
index 91ccb85..025e8dd 100644
--- a/.gitignore
+++ b/.gitignore
@@ -133,3 +133,4 @@ tests/test_dev_local*.py
 .DS_Store
 tests/temp/
 .ruff_cache/
+/.benchman
diff --git a/CHANGELOG.md b/CHANGELOG.md
index b18c507..6071607 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -1,6 +1,7 @@
 # Changelog
 
 ## 0.11.2 (unreleased)
+- Add benchmarks (using [Benchman](https://github.com/mar10/benchman)).
 
 ## 0.11.1 (2024-11-08)
 - `t0.diff(t1, ...)` adds nodes from t1 when possible, so the new status is 
diff --git a/Pipfile b/Pipfile
index 3b97bb3..aeeca28 100644
--- a/Pipfile
+++ b/Pipfile
@@ -4,11 +4,12 @@ verify_ssl = true
 name = "pypi"
 
 [dev-packages]
+benchman = "*"
+# benchman = {file = "../benchman", editable = true}
 fabulist="*"
 ipykernel = "*"
 mypy = "*"
 notebook = "*"
-# pandoc = "*" # jupyter nbconvert --to rst
 pre-commit = "*"
 pydot = "*"
 pyright = "*"
diff --git a/Pipfile.lock b/Pipfile.lock
index 1494023..2dbf28b 100644
--- a/Pipfile.lock
+++ b/Pipfile.lock
@@ -1,7 +1,7 @@
 {
     "_meta": {
         "hash": {
-            "sha256": "99e6aaf044d19c4a02b758f5427f6d4307858f216724432f61c3854f5e338d77"
+            "sha256": "3c7fadfe51dbc926b571479b19fd2a3fb9d4f6172608eca10cf0ec59140715ef"
         },
         "pipfile-spec": 6,
         "requires": {
@@ -37,11 +37,11 @@
         },
         "anyio": {
             "hashes": [
-                "sha256:4c8bc31ccdb51c7f7bd251f51c609e038d63e34219b44aa86e47576389880b4c",
-                "sha256:6d170c36fba3bdd840c73d3868c1e777e33676a69c3a72cf0a0d5d6d8009b61d"
+                "sha256:2f834749c602966b7d456a7567cafcb309f96482b5081d14ac93ccd457f9dd48",
+                "sha256:ea60c3723ab42ba6fff7e8ccb0488c898ec538ff4df1f1d5e642c3601d07e352"
             ],
             "markers": "python_version >= '3.9'",
-            "version": "==4.6.2.post1"
+            "version": "==4.7.0"
         },
         "appnope": {
             "hashes": [
@@ -96,10 +96,11 @@
         },
         "asttokens": {
             "hashes": [
-                "sha256:051ed49c3dcae8913ea7cd08e46a606dba30b79993209636c4875bc1d637bc24",
-                "sha256:b03869718ba9a6eb027e134bfdf69f38a236d681c83c160d510768af11254ba0"
+                "sha256:0dcd8baa8d62b0c1d118b399b2ddba3c4aff271d0d7a9e0d4c1681c79035bbc7",
+                "sha256:e3078351a059199dd5138cb1c706e6430c05eff2ff136af5eb4790f9d28932e2"
             ],
-            "version": "==2.4.1"
+            "markers": "python_version >= '3.8'",
+            "version": "==3.0.0"
         },
         "async-lru": {
             "hashes": [
@@ -111,11 +112,11 @@
         },
         "attrs": {
             "hashes": [
-                "sha256:5cfb1b9148b5b086569baec03f20d7b6bf3bcacc9a42bebf87ffaaca362f6346",
-                "sha256:81921eb96de3191c8258c199618104dd27ac608d9366f5e35d011eae1867ede2"
+                "sha256:8f5c07333d543103541ba7be0e2ce16eeee8130cb0b3f9238ab904ce1e85baff",
+                "sha256:ac96cd038792094f438ad1f6ff80837353805ac950cd2aa0e0625ef19850c308"
             ],
-            "markers": "python_version >= '3.7'",
-            "version": "==24.2.0"
+            "markers": "python_version >= '3.8'",
+            "version": "==24.3.0"
         },
         "babel": {
             "hashes": [
@@ -133,6 +134,15 @@
             "markers": "python_full_version >= '3.6.0'",
             "version": "==4.12.3"
         },
+        "benchman": {
+            "hashes": [
+                "sha256:25a4c9434eb1bf9561eb57be37f0de24d0ff9227b6856f81e0c84ca5b3172239",
+                "sha256:62ba8c39d25ee546d93dba35fa3ec0547e9b65bb1db4338c787165c1af4b0751"
+            ],
+            "index": "pypi",
+            "markers": "python_version >= '3.9'",
+            "version": "==0.0.1"
+        },
         "bleach": {
             "hashes": [
                 "sha256:117d9c6097a7c3d22fd578fcd8d35ff1e125df6736f554da4e432fdd63f31e5e",
@@ -141,6 +151,14 @@
             "markers": "python_version >= '3.9'",
             "version": "==6.2.0"
         },
+        "build": {
+            "hashes": [
+                "sha256:1d61c0887fa860c01971625baae8bdd338e517b836a2f70dd1f7aa3a6b2fc5b5",
+                "sha256:b36993e92ca9375a219c99e606a122ff365a760a2d4bba0caa09bd5278b608b7"
+            ],
+            "markers": "python_version >= '3.8'",
+            "version": "==1.2.2.post1"
+        },
         "cachetools": {
             "hashes": [
                 "sha256:02134e8439cdc2ffb62023ce1debca2944c3f289d66bb17ead3ab3dede74b292",
@@ -151,11 +169,11 @@
         },
         "certifi": {
             "hashes": [
-                "sha256:922820b53db7a7257ffbda3f597266d435245903d80737e34f8a45ff3e3230d8",
-                "sha256:bec941d2aa8195e248a60b31ff9f0558284cf01a52591ceda73ea9afffd69fd9"
+                "sha256:1275f7a45be9464efc1173084eaa30f866fe2e47d389406136d332ed4967ec56",
+                "sha256:b650d30f370c2b724812bee08008be0c4163b163ddaec3f2546c1caf65f191db"
             ],
             "markers": "python_version >= '3.6'",
-            "version": "==2024.8.30"
+            "version": "==2024.12.14"
         },
         "cffi": {
             "hashes": [
@@ -248,122 +266,109 @@
         },
         "charset-normalizer": {
             "hashes": [
-                "sha256:0099d79bdfcf5c1f0c2c72f91516702ebf8b0b8ddd8905f97a8aecf49712c621",
-                "sha256:0713f3adb9d03d49d365b70b84775d0a0d18e4ab08d12bc46baa6132ba78aaf6",
-                "sha256:07afec21bbbbf8a5cc3651aa96b980afe2526e7f048fdfb7f1014d84acc8b6d8",
-                "sha256:0b309d1747110feb25d7ed6b01afdec269c647d382c857ef4663bbe6ad95a912",
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-                "sha256:0de7b687289d3c1b3e8660d0741874abe7888100efe14bd0f9fd7141bcbda92b",
-                "sha256:1110e22af8ca26b90bd6364fe4c763329b0ebf1ee213ba32b68c73de5752323d",
-                "sha256:130272c698667a982a5d0e626851ceff662565379baf0ff2cc58067b81d4f11d",
-                "sha256:136815f06a3ae311fae551c3df1f998a1ebd01ddd424aa5603a4336997629e95",
-                "sha256:14215b71a762336254351b00ec720a8e85cada43b987da5a042e4ce3e82bd68e",
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-                "sha256:20587d20f557fe189b7947d8e7ec5afa110ccf72a3128d61a2a387c3313f46be",
-                "sha256:223217c3d4f82c3ac5e29032b3f1c2eb0fb591b72161f86d93f5719079dae93e",
-                "sha256:27623ba66c183eca01bf9ff833875b459cad267aeeb044477fedac35e19ba907",
-                "sha256:285e96d9d53422efc0d7a17c60e59f37fbf3dfa942073f666db4ac71e8d726d0",
-                "sha256:2de62e8801ddfff069cd5c504ce3bc9672b23266597d4e4f50eda28846c322f2",
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@@ -386,135 +391,135 @@
                 "toml"
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@@ -534,11 +539,11 @@
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@@ -573,10 +578,10 @@
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@@ -619,27 +624,27 @@
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@@ -657,14 +662,6 @@
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@@ -684,11 +681,11 @@
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@@ -723,27 +720,27 @@
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@@ -789,11 +786,11 @@
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@@ -805,11 +802,11 @@
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@@ -821,11 +818,11 @@
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@@ -845,11 +842,11 @@
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@@ -960,42 +957,42 @@
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@@ -1007,11 +1004,11 @@
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@@ -1039,24 +1036,33 @@
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@@ -1068,12 +1074,12 @@
         },
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@@ -1097,11 +1103,11 @@
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@@ -1129,11 +1135,11 @@
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@@ -1162,11 +1168,11 @@
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@@ -1178,26 +1184,26 @@
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@@ -1223,20 +1229,20 @@
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@@ -1251,11 +1257,11 @@
                 "crypto"
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@@ -1289,23 +1295,31 @@
             "markers": "python_version >= '3.8'",
             "version": "==1.8.0"
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@@ -1732,20 +1746,20 @@
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@@ -1796,12 +1810,12 @@
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@@ -1866,6 +1880,24 @@
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@@ -1892,20 +1924,20 @@
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@@ -1926,20 +1958,20 @@
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@@ -1959,19 +1991,19 @@
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@@ -1982,10 +2014,10 @@
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+            ],
+            "markers": "python_version >= '3.8'",
+            "version": "==1.17.0"
         },
         "yabs": {
             "hashes": [
@@ -2094,14 +2121,6 @@
             ],
             "index": "pypi",
             "version": "==0.6.1"
-        },
-        "zipp": {
-            "hashes": [
-                "sha256:a817ac80d6cf4b23bf7f2828b7cabf326f15a001bea8b1f9b49631780ba28350",
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-            "version": "==3.20.2"
         }
     }
 }
diff --git a/docs/jupyter/tutorial.ipynb b/docs/jupyter/tutorial.ipynb
new file mode 100644
index 0000000..390428c
--- /dev/null
+++ b/docs/jupyter/tutorial.ipynb
@@ -0,0 +1,310 @@
+{
+ "cells": [
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Nutree Tutorial"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Nutree organizes arbitrary object instances in an unobtrusive way. <br>\n",
+    "That means, we can add existing objects without havin to derrive from a common \n",
+    "base class or having them implement a specific protocol."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Setup some sample classes and objects"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import uuid\n",
+    "\n",
+    "\n",
+    "class Department:\n",
+    "    def __init__(self, name: str):\n",
+    "        self.guid = uuid.uuid4()\n",
+    "        self.name = name\n",
+    "\n",
+    "    def __str__(self):\n",
+    "        return f\"Department<{self.name}>\"\n",
+    "\n",
+    "\n",
+    "class Person:\n",
+    "    def __init__(self, name: str, age: int):\n",
+    "        self.guid = uuid.uuid4()\n",
+    "        self.name = name\n",
+    "        self.age = age\n",
+    "\n",
+    "    def __str__(self):\n",
+    "        return f\"Person<{self.name} ({self.age})>\""
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Now create some instances"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "development_dep = Department(\"Development\")\n",
+    "test__dep = Department(\"Test\")\n",
+    "marketing_dep = Department(\"Marketing\")\n",
+    "\n",
+    "alice = Person(\"Alice\", 25)\n",
+    "bob = Person(\"Bob\", 35)\n",
+    "claire = Person(\"Claire\", 45)\n",
+    "dave = Person(\"Dave\", 55)"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Let's organize these objects in a hierarchical structure:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Tree<'Organization'>\n",
+      "├── <__main__.Department object at 0x111f04e00>\n",
+      "│   ├── <__main__.Department object at 0x111b89f70>\n",
+      "│   │   ╰── <__main__.Person object at 0x111f05520>\n",
+      "│   ╰── <__main__.Person object at 0x111f04da0>\n",
+      "├── <__main__.Department object at 0x111edac90>\n",
+      "│   ╰── <__main__.Person object at 0x111f06a50>\n",
+      "╰── <__main__.Person object at 0x111ed9880>\n"
+     ]
+    }
+   ],
+   "source": [
+    "from nutree import Tree\n",
+    "\n",
+    "tree = Tree(\"Organization\")\n",
+    "\n",
+    "dev_node = tree.add(development_dep)\n",
+    "test_node = dev_node.add(test__dep)\n",
+    "mkt_node = tree.add(marketing_dep)\n",
+    "\n",
+    "tree.add(alice)\n",
+    "dev_node.add(bob)\n",
+    "test_node.add(claire)\n",
+    "mkt_node.add(dave)\n",
+    "\n",
+    "tree.print()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Tree nodes store a reference to the object in the `node.data` attribute.\n",
+    "\n",
+    "The nodes are formatted by the object's  `__repr__` implementation by default. <br>\n",
+    "We can overide ths by passing an f-string as `repr` argument:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Tree<'Organization'>\n",
+      "├── Department<Development>\n",
+      "│   ├── Department<Test>\n",
+      "│   │   ╰── Person<Claire (45)>\n",
+      "│   ╰── Person<Bob (35)>\n",
+      "├── Department<Marketing>\n",
+      "│   ╰── Person<Dave (55)>\n",
+      "╰── Person<Alice (25)>\n"
+     ]
+    }
+   ],
+   "source": [
+    "tree.print(repr=\"{node.data}\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Iteration and Searching"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Mutation"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Data IDs and Clones"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Node<'Department<Development>', data_id=287245536>\n",
+      "├── Node<'Department<Test>', data_id=287017463>\n",
+      "│   ╰── Node<'Person<Claire (45)>', data_id=287245650>\n",
+      "╰── Node<'Person<Bob (35)>', data_id=287245530>\n",
+      "Node<'Department<Marketing>', data_id=287234761>\n",
+      "╰── Node<'Person<Dave (55)>', data_id=287245989>\n",
+      "Node<'Person<Alice (25)>', data_id=287234440>\n"
+     ]
+    }
+   ],
+   "source": [
+    "tree.print(repr=\"{node}\", title=False)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Serialization"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[{'data': 'Department<Development>',\n",
+       "  'children': [{'data': 'Department<Test>',\n",
+       "    'children': [{'data': 'Person<Claire (45)>'}]},\n",
+       "   {'data': 'Person<Bob (35)>'}]},\n",
+       " {'data': 'Department<Marketing>',\n",
+       "  'children': [{'data': 'Person<Dave (55)>'}]},\n",
+       " {'data': 'Person<Alice (25)>'}]"
+      ]
+     },
+     "execution_count": 36,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "tree.to_dict_list()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[(0, {}), (1, {}), (2, {}), (1, {}), (0, {}), (5, {}), (0, {})]"
+      ]
+     },
+     "execution_count": 37,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "list(tree.to_list_iter())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Tree<'4595934048'>\n",
+      "╰── 'A'\n"
+     ]
+    }
+   ],
+   "source": [
+    "t = Tree._from_list([(0, \"A\")])\n",
+    "print(t.format())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": ".venv",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.6"
+  },
+  "orig_nbformat": 4
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/docs/sphinx/ug_benchmarks.md b/docs/sphinx/ug_benchmarks.md
new file mode 100644
index 0000000..a06ab23
--- /dev/null
+++ b/docs/sphinx/ug_benchmarks.md
@@ -0,0 +1,157 @@
+# Benchmarks
+## Benchmark Data
+
+> Client: arm64_16_GB, Darwin_24.1.0
+
+| Full Name                                               | Python     | Minimum time   | maxOPS    | OPSrel    | Std Dev (σ)   |
+|:--------------------------------------------------------|:-----------|:---------------|:----------|:----------|:--------------|
+| access node.data(node._data (attr))                     | 3.10.15    | 29 ns          | 34.012 M  | 34.012 M  | 1 ns          |
+| access node.data(node._data (attr))                     | 3.12.6     | 9 ns           | 116.281 M | 116.281 M | 0 ns          |
+| access node.data(node._data (attr))                     | 3.13.0rc3+ | 7 ns           | 134.332 M | 134.332 M | 0 ns          |
+| access node.data(node._data (attr))                     | 3.9.20     | 29 ns          | 34.911 M  | 34.911 M  | 1 ns          |
+| access node.data(node._data (attr))                     | 3.11.10    | 22 ns          | 44.912 M  | 44.912 M  | 0 ns          |
+| access node.data(node.data (property))                  | 3.9.20     | 75 ns          | 13.334 M  | 13.334 M  | 0 ns          |
+| access node.data(node.data (property))                  | 3.13.0rc3+ | 49 ns          | 20.374 M  | 20.374 M  | 0 ns          |
+| access node.data(node.data (property))                  | 3.12.6     | 52 ns          | 19.222 M  | 19.222 M  | 0 ns          |
+| access node.data(node.data (property))                  | 3.11.10    | 56 ns          | 17.833 M  | 17.833 M  | 0 ns          |
+| access node.data(node.data (property))                  | 3.10.15    | 79 ns          | 12.616 M  | 12.616 M  | 0 ns          |
+| iterate(for _ in tree.iterator(): ..., n=8)             | 3.10.15    | 2,563 ns       | 0.390 M   | 3.122 M   | 6 ns          |
+| iterate(for _ in tree.iterator(): ..., n=8)             | 3.12.6     | 1,666 ns       | 0.600 M   | 4.802 M   | 53 ns         |
+| iterate(for _ in tree.iterator(): ..., n=8)             | 3.13.0rc3+ | 1,508 ns       | 0.663 M   | 5.305 M   | 6 ns          |
+| iterate(for _ in tree.iterator(): ..., n=8)             | 3.11.10    | 2,138 ns       | 0.468 M   | 3.741 M   | 223 ns        |
+| iterate(for _ in tree.iterator(): ..., n=8)             | 3.9.20     | 2,639 ns       | 0.379 M   | 3.031 M   | 12 ns         |
+| iterate(for _ in tree.iterator(LEVEL_ORDER): ..., n=8)  | 3.13.0rc3+ | 1,222 ns       | 0.818 M   | 6.545 M   | 3 ns          |
+| iterate(for _ in tree.iterator(LEVEL_ORDER): ..., n=8)  | 3.10.15    | 1,908 ns       | 0.524 M   | 4.192 M   | 9 ns          |
+| iterate(for _ in tree.iterator(LEVEL_ORDER): ..., n=8)  | 3.12.6     | 1,309 ns       | 0.764 M   | 6.110 M   | 4 ns          |
+| iterate(for _ in tree.iterator(LEVEL_ORDER): ..., n=8)  | 3.11.10    | 1,552 ns       | 0.644 M   | 5.154 M   | 4 ns          |
+| iterate(for _ in tree.iterator(LEVEL_ORDER): ..., n=8)  | 3.9.20     | 1,776 ns       | 0.563 M   | 4.504 M   | 6 ns          |
+| iterate(for _ in tree.iterator(POST_ORDER): ..., n=8)   | 3.10.15    | 3,134 ns       | 0.319 M   | 2.553 M   | 6 ns          |
+| iterate(for _ in tree.iterator(POST_ORDER): ..., n=8)   | 3.12.6     | 2,292 ns       | 0.436 M   | 3.491 M   | 7 ns          |
+| iterate(for _ in tree.iterator(POST_ORDER): ..., n=8)   | 3.9.20     | 3,201 ns       | 0.312 M   | 2.500 M   | 7 ns          |
+| iterate(for _ in tree.iterator(POST_ORDER): ..., n=8)   | 3.11.10    | 2,667 ns       | 0.375 M   | 3.000 M   | 10 ns         |
+| iterate(for _ in tree.iterator(POST_ORDER): ..., n=8)   | 3.13.0rc3+ | 2,088 ns       | 0.479 M   | 3.831 M   | 87 ns         |
+| iterate(for _ in tree.iterator(PRE_ORDER): ..., n=8)    | 3.10.15    | 2,566 ns       | 0.390 M   | 3.118 M   | 5 ns          |
+| iterate(for _ in tree.iterator(PRE_ORDER): ..., n=8)    | 3.12.6     | 1,690 ns       | 0.592 M   | 4.735 M   | 47 ns         |
+| iterate(for _ in tree.iterator(PRE_ORDER): ..., n=8)    | 3.9.20     | 2,696 ns       | 0.371 M   | 2.968 M   | 93 ns         |
+| iterate(for _ in tree.iterator(PRE_ORDER): ..., n=8)    | 3.11.10    | 2,109 ns       | 0.474 M   | 3.794 M   | 92 ns         |
+| iterate(for _ in tree.iterator(PRE_ORDER): ..., n=8)    | 3.13.0rc3+ | 1,498 ns       | 0.668 M   | 5.341 M   | 7 ns          |
+| iterate(for _ in tree.iterator(RANDOM_ORDER): ..., n=8) | 3.12.6     | 1,825 ns       | 0.548 M   | 4.383 M   | 43 ns         |
+| iterate(for _ in tree.iterator(RANDOM_ORDER): ..., n=8) | 3.11.10    | 1,766 ns       | 0.566 M   | 4.529 M   | 46 ns         |
+| iterate(for _ in tree.iterator(RANDOM_ORDER): ..., n=8) | 3.9.20     | 2,561 ns       | 0.390 M   | 3.123 M   | 96 ns         |
+| iterate(for _ in tree.iterator(RANDOM_ORDER): ..., n=8) | 3.10.15    | 2,556 ns       | 0.391 M   | 3.130 M   | 12 ns         |
+| iterate(for _ in tree.iterator(RANDOM_ORDER): ..., n=8) | 3.13.0rc3+ | 1,728 ns       | 0.579 M   | 4.629 M   | 7 ns          |
+| iterate(for _ in tree.iterator(UNORDERED): ..., n=8)    | 3.12.6     | 398 ns         | 2.510 M   | 20.080 M  | 3 ns          |
+| iterate(for _ in tree.iterator(UNORDERED): ..., n=8)    | 3.10.15    | 492 ns         | 2.032 M   | 16.256 M  | 4 ns          |
+| iterate(for _ in tree.iterator(UNORDERED): ..., n=8)    | 3.13.0rc3+ | 336 ns         | 2.977 M   | 23.819 M  | 1 ns          |
+| iterate(for _ in tree.iterator(UNORDERED): ..., n=8)    | 3.11.10    | 394 ns         | 2.538 M   | 20.301 M  | 0 ns          |
+| iterate(for _ in tree.iterator(UNORDERED): ..., n=8)    | 3.9.20     | 491 ns         | 2.035 M   | 16.283 M  | 4 ns          |
+| iterate(for _ in tree: ..., n=8)                        | 3.9.20     | 2,652 ns       | 0.377 M   | 3.017 M   | 21 ns         |
+| iterate(for _ in tree: ..., n=8)                        | 3.12.6     | 1,687 ns       | 0.593 M   | 4.741 M   | 18 ns         |
+| iterate(for _ in tree: ..., n=8)                        | 3.13.0rc3+ | 1,527 ns       | 0.655 M   | 5.238 M   | 107 ns        |
+| iterate(for _ in tree: ..., n=8)                        | 3.10.15    | 2,554 ns       | 0.392 M   | 3.133 M   | 233 ns        |
+| iterate(for _ in tree: ..., n=8)                        | 3.11.10    | 2,157 ns       | 0.464 M   | 3.709 M   | 4 ns          |
+| iterate(tree.visit(lambda node, memo: None), n=8)       | 3.12.6     | 1,513 ns       | 0.661 M   | 5.286 M   | 38 ns         |
+| iterate(tree.visit(lambda node, memo: None), n=8)       | 3.11.10    | 1,998 ns       | 0.501 M   | 4.004 M   | 7 ns          |
+| iterate(tree.visit(lambda node, memo: None), n=8)       | 3.13.0rc3+ | 1,383 ns       | 0.723 M   | 5.785 M   | 42 ns         |
+| iterate(tree.visit(lambda node, memo: None), n=8)       | 3.10.15    | 2,595 ns       | 0.385 M   | 3.083 M   | 88 ns         |
+| iterate(tree.visit(lambda node, memo: None), n=8)       | 3.9.20     | 2,532 ns       | 0.395 M   | 3.159 M   | 85 ns         |
+| search(by index, n=8)                                   | 3.13.0rc3+ | 348 ns         | 2.875 M   | 23.004 M  | 30 ns         |
+| search(by index, n=8)                                   | 3.12.6     | 342 ns         | 2.922 M   | 23.375 M  | 30 ns         |
+| search(by index, n=8)                                   | 3.9.20     | 516 ns         | 1.937 M   | 15.497 M  | 48 ns         |
+| search(by index, n=8)                                   | 3.11.10    | 287 ns         | 3.480 M   | 27.839 M  | 27 ns         |
+| search(by index, n=8)                                   | 3.10.15    | 487 ns         | 2.052 M   | 16.415 M  | 31 ns         |
+| search(find(), n=8)                                     | 3.9.20     | 274 ns         | 3.647 M   | 29.175 M  | 1 ns          |
+| search(find(), n=8)                                     | 3.13.0rc3+ | 148 ns         | 6.766 M   | 54.127 M  | 7 ns          |
+| search(find(), n=8)                                     | 3.10.15    | 247 ns         | 4.053 M   | 32.422 M  | 15 ns         |
+| search(find(), n=8)                                     | 3.11.10    | 145 ns         | 6.912 M   | 55.299 M  | 8 ns          |
+| search(find(), n=8)                                     | 3.12.6     | 151 ns         | 6.632 M   | 53.056 M  | 8 ns          |
+| search(find_all(), n=8)                                 | 3.9.20     | 267 ns         | 3.748 M   | 29.980 M  | 10 ns         |
+| search(find_all(), n=8)                                 | 3.11.10    | 141 ns         | 7.104 M   | 56.832 M  | 5 ns          |
+| search(find_all(), n=8)                                 | 3.12.6     | 156 ns         | 6.392 M   | 51.134 M  | 5 ns          |
+| search(find_all(), n=8)                                 | 3.10.15    | 240 ns         | 4.160 M   | 33.278 M  | 12 ns         |
+| search(find_all(), n=8)                                 | 3.13.0rc3+ | 148 ns         | 6.768 M   | 54.147 M  | 6 ns          |
+| serialize_load(ZIP_BZIP2 ('.bz2'))                      | 3.11.10    | 163 ms         | 6.129     | 6.129     | 0 ms          |
+| serialize_load(ZIP_BZIP2 ('.bz2'))                      | 3.12.6     | 165 ms         | 6.055     | 6.055     | 0 ms          |
+| serialize_load(ZIP_BZIP2 ('.bz2'))                      | 3.10.15    | 208 ms         | 4.808     | 4.808     | 0 ms          |
+| serialize_load(ZIP_BZIP2 ('.bz2'))                      | 3.9.20     | 240 ms         | 4.168     | 4.168     | 0 ms          |
+| serialize_load(ZIP_BZIP2 ('.bz2'))                      | 3.13.0rc3+ | 175 ms         | 5.722     | 5.722     | 0 ms          |
+| serialize_load(ZIP_DEFLATED ('.zip'))                   | 3.11.10    | 148 ms         | 6.756     | 6.756     | 0 ms          |
+| serialize_load(ZIP_DEFLATED ('.zip'))                   | 3.13.0rc3+ | 159 ms         | 6.294     | 6.294     | 0 ms          |
+| serialize_load(ZIP_DEFLATED ('.zip'))                   | 3.12.6     | 164 ms         | 6.102     | 6.102     | 0 ms          |
+| serialize_load(ZIP_DEFLATED ('.zip'))                   | 3.10.15    | 210 ms         | 4.770     | 4.770     | 0 ms          |
+| serialize_load(ZIP_DEFLATED ('.zip'))                   | 3.9.20     | 209 ms         | 4.785     | 4.785     | 0 ms          |
+| serialize_load(ZIP_LZMA ('.lzma'))                      | 3.10.15    | 208 ms         | 4.805     | 4.805     | 0 ms          |
+| serialize_load(ZIP_LZMA ('.lzma'))                      | 3.9.20     | 204 ms         | 4.907     | 4.907     | 0 ms          |
+| serialize_load(ZIP_LZMA ('.lzma'))                      | 3.13.0rc3+ | 156 ms         | 6.424     | 6.424     | 0 ms          |
+| serialize_load(ZIP_LZMA ('.lzma'))                      | 3.11.10    | 162 ms         | 6.187     | 6.187     | 0 ms          |
+| serialize_load(ZIP_LZMA ('.lzma'))                      | 3.12.6     | 167 ms         | 5.975     | 5.975     | 0 ms          |
+| serialize_load(uncompressed ('.json'))                  | 3.13.0rc3+ | 149 ms         | 6.709     | 6.709     | 0 ms          |
+| serialize_load(uncompressed ('.json'))                  | 3.9.20     | 203 ms         | 4.926     | 4.926     | 0 ms          |
+| serialize_load(uncompressed ('.json'))                  | 3.12.6     | 171 ms         | 5.848     | 5.848     | 0 ms          |
+| serialize_load(uncompressed ('.json'))                  | 3.11.10    | 145 ms         | 6.902     | 6.902     | 0 ms          |
+| serialize_load(uncompressed ('.json'))                  | 3.10.15    | 200 ms         | 4.990     | 4.990     | 0 ms          |
+| serialize_save(ZIP_BZIP2 ('.bz2'))                      | 3.12.6     | 325 ms         | 3.081     | 3.081     | 0 ms          |
+| serialize_save(ZIP_BZIP2 ('.bz2'))                      | 3.11.10    | 320 ms         | 3.125     | 3.125     | 0 ms          |
+| serialize_save(ZIP_BZIP2 ('.bz2'))                      | 3.13.0rc3+ | 281 ms         | 3.558     | 3.558     | 0 ms          |
+| serialize_save(ZIP_BZIP2 ('.bz2'))                      | 3.10.15    | 378 ms         | 2.649     | 2.649     | 0 ms          |
+| serialize_save(ZIP_BZIP2 ('.bz2'))                      | 3.9.20     | 353 ms         | 2.835     | 2.835     | 0 ms          |
+| serialize_save(ZIP_DEFLATED ('.zip'))                   | 3.11.10    | 286 ms         | 3.498     | 3.498     | 0 ms          |
+| serialize_save(ZIP_DEFLATED ('.zip'))                   | 3.13.0rc3+ | 244 ms         | 4.091     | 4.091     | 0 ms          |
+| serialize_save(ZIP_DEFLATED ('.zip'))                   | 3.12.6     | 268 ms         | 3.738     | 3.738     | 0 ms          |
+| serialize_save(ZIP_DEFLATED ('.zip'))                   | 3.9.20     | 333 ms         | 3.000     | 3.000     | 0 ms          |
+| serialize_save(ZIP_DEFLATED ('.zip'))                   | 3.10.15    | 344 ms         | 2.907     | 2.907     | 0 ms          |
+| serialize_save(ZIP_LZMA ('.lzma'))                      | 3.13.0rc3+ | 568 ms         | 1.762     | 1.762     | 0 ms          |
+| serialize_save(ZIP_LZMA ('.lzma'))                      | 3.10.15    | 660 ms         | 1.515     | 1.515     | 0 ms          |
+| serialize_save(ZIP_LZMA ('.lzma'))                      | 3.9.20     | 626 ms         | 1.597     | 1.597     | 0 ms          |
+| serialize_save(ZIP_LZMA ('.lzma'))                      | 3.12.6     | 566 ms         | 1.766     | 1.766     | 0 ms          |
+| serialize_save(ZIP_LZMA ('.lzma'))                      | 3.11.10    | 593 ms         | 1.685     | 1.685     | 0 ms          |
+| serialize_save(uncompressed ('.json'))                  | 3.10.15    | 305 ms         | 3.274     | 3.274     | 0 ms          |
+| serialize_save(uncompressed ('.json'))                  | 3.11.10    | 272 ms         | 3.671     | 3.671     | 0 ms          |
+| serialize_save(uncompressed ('.json'))                  | 3.12.6     | 230 ms         | 4.352     | 4.352     | 0 ms          |
+| serialize_save(uncompressed ('.json'))                  | 3.13.0rc3+ | 215 ms         | 4.660     | 4.660     | 0 ms          |
+| serialize_save(uncompressed ('.json'))                  | 3.9.20     | 293 ms         | 3.410     | 3.410     | 0 ms          |
+
+Benchmark date: 2024-12-27T21:32:29.559992+00:00
+Fixed dataset values: client='61bdee7c56e0e5f7', debug_mode=False, hardware='arm64_16_GB', project='nutree', system='Darwin_24.1.0', tag='latest', version='0.11.2a1'.
+Variant dataset values: name, python, sample_size, variant.
+Showing 105 rows.
+Sort order: full_name.
+
+
+
+## Ops by python
+
+> Client: arm64_16_GB, Darwin_24.1.0
+
+| Name             | Variant                                   | 3.9.20   | 3.10.15   | 3.11.10   | 3.12.6    | 3.13.0rc3+   |
+|:-----------------|:------------------------------------------|:---------|:----------|:----------|:----------|:-------------|
+| access node.data | node._data (attr)                         | 34.911 M | 34.012 M  | 44.912 M  | 116.281 M | 134.332 M    |
+| access node.data | node.data (property)                      | 13.334 M | 12.616 M  | 17.833 M  | 19.222 M  | 20.374 M     |
+| iterate          | for _ in tree: ...                        | 0.377 M  | 0.392 M   | 0.464 M   | 0.593 M   | 0.655 M      |
+| iterate          | for _ in tree.iterator(UNORDERED): ...    | 2.035 M  | 2.032 M   | 2.538 M   | 2.510 M   | 2.977 M      |
+| iterate          | for _ in tree.iterator(POST_ORDER): ...   | 0.312 M  | 0.319 M   | 0.375 M   | 0.436 M   | 0.479 M      |
+| iterate          | for _ in tree.iterator(RANDOM_ORDER): ... | 0.390 M  | 0.391 M   | 0.566 M   | 0.548 M   | 0.579 M      |
+| iterate          | tree.visit(lambda node, memo: None)       | 0.395 M  | 0.385 M   | 0.501 M   | 0.661 M   | 0.723 M      |
+| iterate          | for _ in tree.iterator(LEVEL_ORDER): ...  | 0.563 M  | 0.524 M   | 0.644 M   | 0.764 M   | 0.818 M      |
+| iterate          | for _ in tree.iterator(PRE_ORDER): ...    | 0.371 M  | 0.390 M   | 0.474 M   | 0.592 M   | 0.668 M      |
+| iterate          | for _ in tree.iterator(): ...             | 0.379 M  | 0.390 M   | 0.468 M   | 0.600 M   | 0.663 M      |
+| search           | find_all()                                | 3.748 M  | 4.160 M   | 7.104 M   | 6.392 M   | 6.768 M      |
+| search           | find()                                    | 3.647 M  | 4.053 M   | 6.912 M   | 6.632 M   | 6.766 M      |
+| search           | by index                                  | 1.937 M  | 2.052 M   | 3.480 M   | 2.922 M   | 2.875 M      |
+| serialize_load   | ZIP_LZMA ('.lzma')                        | 4.907    | 4.805     | 6.187     | 5.975     | 6.424        |
+| serialize_load   | uncompressed ('.json')                    | 4.926    | 4.990     | 6.902     | 5.848     | 6.709        |
+| serialize_load   | ZIP_DEFLATED ('.zip')                     | 4.785    | 4.770     | 6.756     | 6.102     | 6.294        |
+| serialize_load   | ZIP_BZIP2 ('.bz2')                        | 4.168    | 4.808     | 6.129     | 6.055     | 5.722        |
+| serialize_save   | ZIP_BZIP2 ('.bz2')                        | 2.835    | 2.649     | 3.125     | 3.081     | 3.558        |
+| serialize_save   | ZIP_DEFLATED ('.zip')                     | 3.000    | 2.907     | 3.498     | 3.738     | 4.091        |
+| serialize_save   | uncompressed ('.json')                    | 3.410    | 3.274     | 3.671     | 4.352     | 4.660        |
+| serialize_save   | ZIP_LZMA ('.lzma')                        | 1.597    | 1.515     | 1.685     | 1.766     | 1.762        |
+
+Benchmark date: 2024-12-27T21:32:29.559992+00:00
+Fixed dataset values: client='61bdee7c56e0e5f7', debug_mode=False, hardware='arm64_16_GB', project='nutree', system='Darwin_24.1.0', tag='latest', version='0.11.2a1'.
+Variant dataset values: name, python, sample_size, variant.
+: Showing 21 of 105 rows.
+Sort order: name.
+
+
+
diff --git a/docs/sphinx/user_guide.rst b/docs/sphinx/user_guide.rst
index fbf1e3f..c285047 100644
--- a/docs/sphinx/user_guide.rst
+++ b/docs/sphinx/user_guide.rst
@@ -26,3 +26,4 @@ capabilities of the library, if you haven't already.
     ug_graphs
     ug_randomize
     ug_advanced
+    ug_benchmarks.md
diff --git a/nutree/common.py b/nutree/common.py
index cc65229..42ac785 100644
--- a/nutree/common.py
+++ b/nutree/common.py
@@ -13,6 +13,7 @@
 import sys
 import warnings
 import zipfile
+from collections.abc import Iterator
 from contextlib import contextmanager
 from enum import Enum
 from pathlib import Path
@@ -21,11 +22,7 @@
     TYPE_CHECKING,
     Any,
     Callable,
-    Dict,
-    Iterator,
-    List,
     Literal,
-    Type,
     Union,
 )
 
@@ -129,17 +126,17 @@ def __init__(self, value=None):
 ReprArgType = Union[str, Callable[["Node"], str]]
 
 #: A dict of scalar values
-FlatJsonDictType = Dict[str, Union[str, int, float, bool, None]]
+FlatJsonDictType = dict[str, Union[str, int, float, bool, None]]
 
 #: Type of ``tree.save(..., key_map)``
-KeyMapType = Dict[str, str]
+KeyMapType = dict[str, str]
 
 #: Type of ``tree.save(..., value_map)``
 #: E.g. `{'t': ['person', 'dept']}`
-ValueMapType = Dict[str, List[str]]
+ValueMapType = dict[str, list[str]]
 
 #: E.g. `{'t': {'person': 0, 'dept': 1}}`
-ValueDictMapType = Dict[str, Dict[str, int]]
+ValueDictMapType = dict[str, dict[str, int]]
 
 #: Generic callback for `tree.to_dot()`, ...
 MapperCallbackType = Callable[["Node", dict], Union[None, Any]]
@@ -152,7 +149,7 @@ def __init__(self, value=None):
 
 #: Generic callback for `tree.filter()`, `tree.copy()`, ...
 PredicateCallbackType = Callable[
-    ["Node"], Union[None, bool, IterationControl, Type[IterationControl]]
+    ["Node"], Union[None, bool, IterationControl, type[IterationControl]]
 ]
 
 #:
@@ -166,9 +163,9 @@ def __init__(self, value=None):
         bool,
         SkipBranch,
         StopTraversal,
-        Type[SkipBranch],
-        Type[StopTraversal],
-        Type[StopIteration],
+        type[SkipBranch],
+        type[StopTraversal],
+        type[StopIteration],
     ],
 ]
 #: Callback for `tree.sort(key=...)`
diff --git a/nutree/dot.py b/nutree/dot.py
index 7c0dc9a..c2b678d 100644
--- a/nutree/dot.py
+++ b/nutree/dot.py
@@ -7,8 +7,9 @@
 
 from __future__ import annotations
 
+from collections.abc import Iterator
 from pathlib import Path
-from typing import IO, TYPE_CHECKING, Any, Iterator
+from typing import IO, TYPE_CHECKING, Any
 
 from nutree.common import MapperCallbackType, call_mapper
 
diff --git a/nutree/mermaid.py b/nutree/mermaid.py
index 5d8d78b..b53695a 100644
--- a/nutree/mermaid.py
+++ b/nutree/mermaid.py
@@ -9,9 +9,10 @@
 from __future__ import annotations
 
 import io
+from collections.abc import Iterable, Iterator
 from pathlib import Path
 from subprocess import CalledProcessError, check_output
-from typing import IO, TYPE_CHECKING, Callable, Iterable, Iterator, Literal
+from typing import IO, TYPE_CHECKING, Callable, Literal
 
 from nutree.common import DataIdType
 
diff --git a/nutree/node.py b/nutree/node.py
index c83681c..07fbfd5 100644
--- a/nutree/node.py
+++ b/nutree/node.py
@@ -13,6 +13,7 @@
 from __future__ import annotations
 
 import re
+from collections.abc import Iterable, Iterator
 from operator import attrgetter
 from pathlib import Path
 from typing import (
@@ -20,8 +21,6 @@
     TYPE_CHECKING,
     Any,
     Generic,
-    Iterable,
-    Iterator,
     cast,
 )
 
diff --git a/nutree/tree.py b/nutree/tree.py
index 0eef9d8..2945fae 100644
--- a/nutree/tree.py
+++ b/nutree/tree.py
@@ -15,15 +15,13 @@
 import json
 import random
 import threading
+from collections.abc import Iterable, Iterator
 from pathlib import Path
 from typing import (
     IO,
     Any,
     Generic,
-    Iterable,
-    Iterator,
     Literal,
-    Type,
     Union,
     cast,
 )
@@ -111,7 +109,7 @@ class Tree(Generic[TData, TNode]):
     **Note:** Use with care, see also :ref:`forward-attributes`.
     """
 
-    node_factory: Type[TNode] = cast(Type[TNode], Node)
+    node_factory: type[TNode] = cast(type[TNode], Node)
     root_node_factory = _SystemRootNode
 
     #: Default connector prefixes ``format(style=...)`` argument.
diff --git a/nutree/tree_generator.py b/nutree/tree_generator.py
index 9aece65..73748c0 100644
--- a/nutree/tree_generator.py
+++ b/nutree/tree_generator.py
@@ -9,8 +9,9 @@
 import random
 import sys
 from abc import ABC, abstractmethod
+from collections.abc import Sequence
 from datetime import date, datetime, timedelta, timezone
-from typing import Any, Sequence, Union
+from typing import Any, Union
 
 from nutree.common import DictWrapper
 from nutree.node import Node
diff --git a/nutree/typed_tree.py b/nutree/typed_tree.py
index 6581f56..8925bf9 100644
--- a/nutree/typed_tree.py
+++ b/nutree/typed_tree.py
@@ -15,8 +15,9 @@
 from __future__ import annotations
 
 from collections import Counter
+from collections.abc import Iterator
 from pathlib import Path
-from typing import IO, Iterator, Type, cast, final
+from typing import IO, cast, final
 
 # typing.Self requires Python 3.11
 from typing_extensions import Any, Self
@@ -100,7 +101,7 @@ def __repr__(self) -> str:
     def kind(self) -> str:
         return self._kind
 
-    def get_children(self, kind: str | Type[ANY_KIND]) -> list[Self]:
+    def get_children(self, kind: str | type[ANY_KIND]) -> list[Self]:
         """Return list of direct child nodes of a given type (list may be empty)."""
         all_children = self._children
         if not all_children:
@@ -109,7 +110,7 @@ def get_children(self, kind: str | Type[ANY_KIND]) -> list[Self]:
             return all_children
         return list(filter(lambda n: n._kind == kind, all_children))
 
-    def first_child(self, kind: str | Type[ANY_KIND]) -> Self | None:
+    def first_child(self, kind: str | type[ANY_KIND]) -> Self | None:
         """First direct child node or None if no children exist."""
         all_children = self._children
         if not all_children:
@@ -122,7 +123,7 @@ def first_child(self, kind: str | Type[ANY_KIND]) -> Self | None:
                 return n
         return None
 
-    def last_child(self, kind: str | Type[ANY_KIND]) -> Self | None:
+    def last_child(self, kind: str | type[ANY_KIND]) -> Self | None:
         """Last direct child node or None if no children exist."""
         all_children = self._children
         if not all_children:
@@ -136,7 +137,7 @@ def last_child(self, kind: str | Type[ANY_KIND]) -> Self | None:
                 return n
         return None
 
-    def has_children(self, kind: str | Type[ANY_KIND]) -> bool:
+    def has_children(self, kind: str | type[ANY_KIND]) -> bool:
         """Return true if this node has one or more children."""
         if kind is ANY_KIND:
             return bool(self._children)
@@ -283,7 +284,7 @@ def add_child(
 
         source_node: Self = None  # type: ignore
         new_node: Self = None  # type: ignore
-        factory: Type[Self] = self._tree.node_factory  # type: ignore
+        factory: type[Self] = self._tree.node_factory  # type: ignore
 
         if isinstance(child, TypedNode):
             if deep is None:
@@ -620,15 +621,15 @@ def add(
             node_id=node_id,
         )
 
-    def first_child(self, kind: str | Type[ANY_KIND]) -> TypedNode[TData] | None:
+    def first_child(self, kind: str | type[ANY_KIND]) -> TypedNode[TData] | None:
         """Return the first toplevel node."""
         return self.system_root.first_child(kind=kind)
 
-    def last_child(self, kind: str | Type[ANY_KIND]) -> TypedNode[TData] | None:
+    def last_child(self, kind: str | type[ANY_KIND]) -> TypedNode[TData] | None:
         """Return the last toplevel node."""
         return self.system_root.last_child(kind=kind)
 
-    def iter_by_type(self, kind: str | Type[ANY_KIND]) -> Iterator[TypedNode[TData]]:
+    def iter_by_type(self, kind: str | type[ANY_KIND]) -> Iterator[TypedNode[TData]]:
         if kind == ANY_KIND:
             yield from self.iterator()
         for n in self.iterator():
diff --git a/pyproject.toml b/pyproject.toml
index 5f48ed3..f2d9d03 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 # --- Ruff Settings ------------------------------------------------------------
 [tool.ruff]
-target-version = "py38"
+target-version = "py39"
 src = ["nutree", "tests"]
 
 [tool.ruff.lint]
@@ -68,6 +68,12 @@ ignore_missing_imports = true
 addopts = "-ra -q --cov=nutree"
 # addopts = "--cov=nutree --cov-report=html --cov-report=term-missing"
 
+markers = [
+    "benchmarks: include slow benchmarks (enable with '-m benchmarks')",
+    # "slow: marks tests as slow (deselect with '-m \"not slow\"')",
+    # "serial",
+]
+
 [tool.coverage.run]
 # branch = true
 omit = [
@@ -97,6 +103,7 @@ exclude_also = [
     # "\\A(?s:.*# pragma: exclude file.*)\\Z",
     "\\A(?s:.*# pragma: exclude-file-from-coverage.*)\\Z",
     ]
+
 [tool.coverage.html]
 directory = "build/coverage"
 
diff --git a/setup.cfg b/setup.cfg
index 7589387..4aaf247 100644
--- a/setup.cfg
+++ b/setup.cfg
@@ -15,7 +15,8 @@
 # "options": {},
 
 [metadata]
-# name = nutree  # GitHub dependants needs it in setup.py?
+# GitHub dependants needs name in setup.py?
+name = nutree  
 version = attr: nutree.__version__
 author = Martin Wendt
 author_email = nutree@wwwendt.de
diff --git a/setup.py b/setup.py
index 6ac3a21..17654c9 100644
--- a/setup.py
+++ b/setup.py
@@ -2,6 +2,6 @@
 from setuptools import setup
 
 setup(
-    name="nutree",  # GitHub dependants needs it in setup.py?
+    # name="nutree",  # GitHub dependants needs it in setup.py?
     # See setup.cfg
 )
diff --git a/tests/conftest.py b/tests/conftest.py
index 626deb2..8e92e48 100644
--- a/tests/conftest.py
+++ b/tests/conftest.py
@@ -1,3 +1,12 @@
 # see also pytest.ini
+import pytest
+from benchman import BenchmarkManager
+
+
 def pytest_addoption(parser):
     parser.addoption("--benchmarks", action="store_true")
+
+
+@pytest.fixture(scope="session")
+def benchman() -> BenchmarkManager:
+    return BenchmarkManager.singleton()
diff --git a/tests/fixture.py b/tests/fixture.py
index 3ef055c..d347df9 100644
--- a/tests/fixture.py
+++ b/tests/fixture.py
@@ -15,7 +15,7 @@
 import uuid
 from random import randint
 from textwrap import dedent, indent
-from typing import IO, Any, List
+from typing import IO, Any
 
 from nutree.common import ReprArgType
 from nutree.tree import Node, Tree
@@ -233,7 +233,7 @@ def create_typed_tree_simple(
     return tree
 
 
-def generate_tree(level_defs: List[int]) -> Tree:
+def generate_tree(level_defs: list[int]) -> Tree:
     """Generate a tree.
 
     Example:
diff --git a/tests/pytest.ini b/tests/pytest.ini
index aa0702b..d2ffdcb 100644
--- a/tests/pytest.ini
+++ b/tests/pytest.ini
@@ -10,9 +10,9 @@ junit_family = legacy
 # minversion = 6.0
 # addopts = -ra -q
 
-markers =
-    benchmarks: include slow benchmarks (enable with '-m benchmarks')
-    # slow: marks tests as slow (deselect with '-m "not slow"')
-    # serial
+; markers =
+;     benchmarks: include slow benchmarks (enable with '-m benchmarks')
+;     # slow: marks tests as slow (deselect with '-m "not slow"')
+;     # serial
 
     
\ No newline at end of file
diff --git a/tests/test_bench.py b/tests/test_bench.py
index ff19140..38911cc 100644
--- a/tests/test_bench.py
+++ b/tests/test_bench.py
@@ -5,7 +5,6 @@
 # ruff: noqa: E501 Line too long
 
 import sys
-from pathlib import Path
 
 import pytest
 from nutree import IterMethod
@@ -20,147 +19,113 @@
 
 @benchmark
 class TestBenchmarks:
-    def test_bench_index(self, capsys):
+    def test_bench_index(self, benchman, capsys):
         """ """
-        results = ["Benchmark results"]
-        tree = fixture.create_tree_simple()
-
-        results.append(
-            fixture.run_timings(
-                "access tree[key]",
-                """\
-            _ = tree["a1"]
-        """,
-                globals=locals(),
-                time_unit="nsec",
-            )
+        tree = fixture.create_tree_simple(print=False)
+        bmr = benchman.make_runner(
+            name="search",
+            sample_size=len(tree),
+            globals=locals(),
         )
 
-        results.append(
-            fixture.run_timings(
-                "tree.find()",
-                """\
-            _ = tree.find("a1")
-        """,
-                globals=locals(),
-            )
+        bmr.run(
+            variant="by index",
+            stmt="""\
+                _ = tree["a1"]
+            """,
         )
-
-        results.append(
-            fixture.run_timings(
-                "tree.find_all()",
-                """\
-            _ = tree.find_all("a1")
-        """,
-                globals=locals(),
-            )
+        bmr.run(
+            variant="find() ",
+            stmt="""\
+                _ = tree.find("a1")
+            """,
+        )
+        bmr.run(
+            variant="find_all() ",
+            stmt="""\
+                _ = tree.find_all("a1")
+            """,
         )
 
         with capsys.disabled():
-            print("\n  - ".join(results))
+            bmr.print()
 
-    def test_bench_properties(self, capsys):
+    def test_bench_properties(self, benchman, capsys):
         """ """
-
-        results = ["Benchmark results"]
         tree = fixture.create_tree_simple()
         node = tree.first_child()
+        bmr = benchman.make_runner(
+            name="access node.data",
+            globals=locals(),
+        )
 
-        results.append(
-            fixture.run_timings(
-                "access node.data (property)",
-                """\
-            _ = node.data
-        """,
-                globals=locals(),
-            )
+        bmr.run(
+            variant="node.data (property)",
+            stmt="""\
+                _ = node.data
+            """,
         )
 
-        results.append(
-            fixture.run_timings(
-                "access node._data (attribute)",
-                """\
-            _ = node._data
-        """,
-                globals=locals(),
-            )
+        bmr.run(
+            variant="node._data (attr)",
+            stmt="""\
+                _ = node._data
+            """,
         )
 
         with capsys.disabled():
-            print("\n  - ".join(results))
+            bmr.print()
 
-    def test_bench_iter(self, capsys):
+    def test_bench_iter(self, benchman, capsys):
         """ """
-
-        results = ["Benchmark results"]
         tree = fixture.create_tree_simple()
         node = tree.first_child()
-
-        results.append(
-            fixture.run_timings(
-                "for _ in tree: ...",
-                """\
-            for _ in tree: pass
-        """,
-                globals=locals(),
-            )
+        size = len(tree)
+        bmr = benchman.make_runner(
+            name="iterate",
+            sample_size=len(tree),
+            globals=locals(),
         )
 
-        results.append(
-            fixture.run_timings(
-                "for _ in tree.iterator(): ...",
-                """\
-            for _ in tree.iterator(): pass
-        """,
-                globals=locals(),
-            )
+        bmr.run(
+            variant="for _ in tree: ...",
+            stmt="""\
+                for _ in tree: pass
+            """,
         )
 
-        ORDER = IterMethod.LEVEL_ORDER
-        results.append(
-            fixture.run_timings(
-                f"for _ in tree.iterator({ORDER}): ...",
-                """\
-            for _ in tree.iterator(ORDER): pass
-        """,
-                globals=locals(),
-            )
+        bmr.run(
+            variant="for _ in tree.iterator(): ...",
+            stmt="""\
+                for _ in tree.iterator(): pass
+            """,
         )
 
-        ORDER = IterMethod.RANDOM_ORDER
-        results.append(
-            fixture.run_timings(
-                f"for _ in tree.iterator({ORDER}): ...",
-                """\
-            for _ in tree.iterator(ORDER): pass
-        """,
-                globals=locals(),
-            )
-        )
-
-        ORDER = IterMethod.UNORDERED
-        results.append(
-            fixture.run_timings(
-                f"for _ in tree.iterator({ORDER}): ...",
-                """\
-            for _ in tree.iterator(ORDER): pass
-        """,
+        ORDER_LIST = [
+            IterMethod.LEVEL_ORDER,
+            IterMethod.PRE_ORDER,
+            IterMethod.POST_ORDER,
+            IterMethod.RANDOM_ORDER,
+            IterMethod.UNORDERED,
+        ]
+        for ORDER in ORDER_LIST:
+            bmr.run(
+                variant=f"for _ in tree.iterator({ORDER.name}): ...",
+                stmt="""\
+                    for _ in tree.iterator(ORDER): pass
+                """,
                 globals=locals(),
             )
-        )
 
-        results.append(
-            fixture.run_timings(
-                "tree.visit(lambda node, memo: None)",
-                """\
-            tree.visit(lambda node, memo: None)
-        """,
-                globals=locals(),
-            )
+        bmr.run(
+            variant="tree.visit(lambda node, memo: None)",
+            stmt="""\
+                tree.visit(lambda node, memo: None)
+            """,
         )
 
         with capsys.disabled():
-            print("\n  - ".join(results))
+            bmr.print()
 
 
 @benchmark
@@ -176,118 +141,100 @@ class TestCompress:
     ZIP_LZMA ('.lzma')     |       44.347 |       2.13 |    0.38
     """
 
-    def test_bench_serialize(self, capsys):
+    def test_bench_serialize(self, benchman, tmp_path, capsys):
         import zipfile  # noqa: F401
 
-        results = ["Benchmark results"]
-        directory = Path("~").expanduser()
-        # with WritableTempFile("w", suffix=".gz") as temp_file:
+        # directory = Path("~").expanduser()
+        directory = tmp_path
 
         tree = fixture.generate_tree([10, 100, 100])
 
+        bmr_load = benchman.make_runner(
+            name="serialize_load",
+            # sample_size=len(tree),
+            repeat=1,
+            iterations=1,
+            globals=locals(),
+        )
+        bmr_save = benchman.make_runner(
+            name="serialize_save",
+            # sample_size=len(tree),
+            repeat=1,
+            iterations=1,
+            globals=locals(),
+        )
+
         path = directory / "test.json"
-        results.append(
-            fixture.run_timings(
-                f"tree.save({path}, compression=False, nodes={len(tree):,})",
-                f"""\
+        bmr_save.run(
+            variant="uncompressed ('.json')",
+            stmt=f"""\
                 tree.save("{path}", compression=False)
-                """,
-                repeat=1,
-                number=1,
-                globals=locals(),
-            )
+            """,
         )
-        results.append(
-            fixture.run_timings(
-                f"tree.load({path}, nodes={len(tree):,})",
-                f"""\
+
+        bmr_load.run(
+            variant="uncompressed ('.json')",
+            stmt=f"""\
                 tree.load("{path}")
-                """,
-                repeat=1,
-                number=1,
-                globals=locals(),
-            )
+            """,
         )
+
         # --- ZIP
         path = directory / "test.zip"
-        results.append(
-            fixture.run_timings(
-                f"tree.save({path}, compression=ZIP, nodes={len(tree):,})",
-                f"""\
+        bmr_save.run(
+            variant="ZIP_DEFLATED ('.zip') ",
+            stmt=f"""\
                 tree.save("{path}", compression=zipfile.ZIP_DEFLATED)
-                """,
-                repeat=1,
-                number=1,
-                globals=locals(),
-            )
+            """,
         )
-        results.append(
-            fixture.run_timings(
-                f"tree.load({path}, nodes={len(tree):,})",
-                f"""\
+
+        bmr_load.run(
+            variant="ZIP_DEFLATED ('.zip') ",
+            stmt=f"""\
                 tree.load("{path}")
-                """,
-                repeat=1,
-                number=1,
-                globals=locals(),
-            )
+            """,
         )
+
         # --- ZIP
         path = directory / "test.bz2"
-        results.append(
-            fixture.run_timings(
-                f"tree.save({path}, compression=ZIP, nodes={len(tree):,})",
-                f"""\
+        bmr_save.run(
+            variant="ZIP_BZIP2 ('.bz2') ",
+            stmt=f"""\
                 tree.save("{path}", compression=zipfile.ZIP_BZIP2)
-                """,
-                repeat=1,
-                number=1,
-                globals=locals(),
-            )
+            """,
         )
-        results.append(
-            fixture.run_timings(
-                f"tree.load({path}, nodes={len(tree):,})",
-                f"""\
+
+        bmr_load.run(
+            variant="ZIP_BZIP2 ('.bz2') ",
+            stmt=f"""\
                 tree.load("{path}")
-                """,
-                repeat=1,
-                number=1,
-                globals=locals(),
-            )
+            """,
         )
+
         # --- ZIP
         path = directory / "test.lzma"
-        results.append(
-            fixture.run_timings(
-                f"tree.save({path}, compression=LZMA, nodes={len(tree):,})",
-                f"""\
+        bmr_save.run(
+            variant="ZIP_LZMA ('.lzma') ",
+            stmt=f"""\
                 tree.save("{path}", compression=zipfile.ZIP_LZMA)
-                """,
-                repeat=1,
-                number=1,
-                globals=locals(),
-            )
+            """,
         )
-        results.append(
-            fixture.run_timings(
-                f"tree.load({path}, nodes={len(tree):,})",
-                f"""\
+
+        bmr_load.run(
+            variant="ZIP_LZMA ('.lzma') ",
+            stmt=f"""\
                 tree.load("{path}")
-                """,
-                repeat=1,
-                number=1,
-                globals=locals(),
-            )
+            """,
         )
 
         with capsys.disabled():
-            print("\n  - ".join(results))
+            bmr_save.print()
+            bmr_load.print()
 
 
 @benchmark
 class TestMemory:
-    def test_bench_node_size(self, capsys):
+    def test_bench_node_size(self, benchman, capsys):
         """ """
 
         try:
@@ -323,7 +270,8 @@ def test_bench_node_size(self, capsys):
             f"node-size: {node_size:.1f} bytes"
         )
         with capsys.disabled():
-            print("\n  - ".join(results))
+            print(f"\n{benchman}")
+            benchman.print_results()
 
     # def test_bench_tree_mem(self, capsys):
     #     """ """
diff --git a/tests/test_serialize.py b/tests/test_serialize.py
index 53aec5c..e919281 100644
--- a/tests/test_serialize.py
+++ b/tests/test_serialize.py
@@ -11,7 +11,7 @@
 import pprint
 import tempfile
 import zipfile
-from typing import Any, Tuple
+from typing import Any
 
 import pytest
 from nutree import Node, Tree
@@ -21,7 +21,7 @@
 from . import fixture
 
 
-def _get_fp_result(fp, *, do_print=True, assert_len: int) -> Tuple[str, dict]:
+def _get_fp_result(fp, *, do_print=True, assert_len: int) -> tuple[str, dict]:
     fp.seek(0)
     text = fp.read()
     data = json.loads(text)
diff --git a/tests/test_typing_concept.py b/tests/test_typing_concept.py
index b8c0812..908e9b8 100644
--- a/tests/test_typing_concept.py
+++ b/tests/test_typing_concept.py
@@ -6,7 +6,7 @@
 
 from __future__ import annotations
 
-from typing import Generic, List, Type, cast
+from typing import Generic, cast
 from uuid import UUID, uuid4
 
 from typing_extensions import Any, Self, TypeVar, reveal_type
@@ -19,7 +19,7 @@ class Node(Generic[TData]):
     def __init__(self, data: TData, parent: Self):
         self.data: TData = data
         self.parent: Self = parent
-        self.children: List[Self] = []
+        self.children: list[Self] = []
 
     def add(self, data: TData) -> Self:
         node = self.__class__(data, self)
@@ -28,7 +28,7 @@ def add(self, data: TData) -> Self:
 
 
 class Tree(Generic[TData, TNode]):
-    node_factory: Type[TNode] = cast(Type[TNode], Node)
+    node_factory: type[TNode] = cast(type[TNode], Node)
 
     def __init__(self):
         self._root: Node = self.node_factory("__root__", None)  # type: ignore
diff --git a/tox.ini b/tox.ini
index d91fc8f..31e2902 100644
--- a/tox.ini
+++ b/tox.ini
@@ -17,13 +17,9 @@ skip_missing_interpreters = true
 
 # TOX Test Environment
 [testenv]
-# usedevelop = True
-extras =
-#     test
-passenv = 
-    # LC_ALL
-    # LANG
-# Note: also honors .coveragerc:
+; usedevelop = True
+; extras =
+; passenv = 
 deps =
     fabulist
     pydot
@@ -31,18 +27,12 @@ deps =
     pytest-cov
     pytest-html
     rdflib
-    py39: typing-extensions>=4.0
-    py310: typing-extensions>=4.0
 setenv =
     COVERAGE_FILE=.coverage.{envname}
-; allowlist_externals =
-;     which
 commands =
     # See settings in pyproject.toml
-    # Run everything from /tests folder:
     python -V
-    ; which python
-    ; pip list
+    pip install -e ../benchman_pre
     pytest -ra -v -x --durations=10 --cov=nutree --html=build/pytest/report-{envname}.html --self-contained-html {posargs}
 
 [testenv:py38]
@@ -130,16 +120,20 @@ commands =
     # http://www.sphinx-doc.org/en/master/man/sphinx-build.html
     sphinx-build -b html sphinx sphinx-build
 
-[testenv:benchmarks]
-description = Run 'pytest --benchmarks' on all Python versions
-; envlist = py38, py39, py310, py311, py312
-skip_install = true
-changedir = {toxinidir}
-basepython = py312
-; basepython = py39
-; basepython = py{38, 39}
+; [testenv:benchmarks]
+; description = Run 'pytest --benchmarks' on all Python versions
+; ; envlist = py38, py39, py310, py311, py312
+; skip_install = true
+; changedir = {toxinidir}
+; basepython = py312
+; ; basepython = py39
+; ; basepython = py{38, 39}
 ; deps =
 ;     pytest
-commands =
-    python -V
-    pytest -k test_bench -o addopts="" --benchmarks 
+;     pytest-benchmark[histogram]
+; commands =
+;     python -V
+;     ; pytest -k test_bench -o addopts="" --benchmarks 
+;     ; pytest  -o addopts="" -k test_pybench --benchmarks --benchmark-histogram
+;     pytest -o addopts="" -k test_pybench --benchmarks 
+;     benchman purge
diff --git a/tox_benchmarks.ini b/tox_benchmarks.ini
new file mode 100644
index 0000000..d595ad1
--- /dev/null
+++ b/tox_benchmarks.ini
@@ -0,0 +1,44 @@
+[tox]
+basepython = python3.12
+envlist =
+    py{39,310,311,312,313}
+    ; py{39}
+    benchman-combine
+skip_missing_interpreters = true
+
+
+# TOX Test Environment
+[testenv]
+; skip_install = true
+deps =
+    ../benchman_pre
+    pytest
+
+changedir = {toxinidir}
+commands =
+    python -V
+    pytest -v \
+        -o addopts="" \
+        --benchmarks tests/test_bench.py 
+; ignore_outcome = true
+; parallel_show_output = true
+
+
+[testenv:benchman-combine]
+description = Combine benchmark results
+# Make sure to run this last
+depends =  py{39,310,311,312,313}
+; skip_install = true
+changedir = {toxinidir}
+commands:
+    benchman combine 
+    benchman report 
+    benchman report \
+        --columns name,variant \
+        --dyn-col-name python --dyn-col-value ops \
+        --output .benchman/report-by-pyver.latest.md
+    ; benchman report --columns name,mean,median,stdev --dyn-col-name python --dyn-col-value best 
+    benchman report --output .benchman/report.latest.md
+
+; ignore_outcome = true
+; parallel_show_output = true
\ No newline at end of file