diff --git a/docs/src/related-work.md b/docs/src/related-work.md
index 615f1203..74d5c215 100644
--- a/docs/src/related-work.md
+++ b/docs/src/related-work.md
@@ -20,7 +20,7 @@ on my (limited) experience with these packages.
 * [Ripser.jl](https://github.com/mtsch/Ripser.jl) my deprecated wrapper of the original
   C++ program. Very bare-bones and outdated. Runs a bit slower than Ripserer.
 
-* [Sparips.jl](https://github.com/mtsch/Ripser.jl) this is a preprocessor that comes with
+* [Sparips.jl](https://github.com/bbrehm/Sparips.jl) this is a preprocessor that comes with
   a different wrapper of Ripser. The preprocessor allows you to compute persistent homology
   of very large datasets. Integrating it with Ripserer is on my TODO list.
 
diff --git a/test/extra/cycles.jl b/test/extra/cycles.jl
index c353d880..f76d5d0d 100644
--- a/test/extra/cycles.jl
+++ b/test/extra/cycles.jl
@@ -6,16 +6,14 @@ using Ripserer: distance_matrix, OneSkeleton
 
 @testset "OneSkeleton respects the Graphs interface" begin
     @testset "no threshold or removed simplices" begin
-        flt = Rips(
-            [
-                0 1 2 3 2 1
-                1 0 1 2 3 2
-                2 1 0 1 2 3
-                3 2 1 0 1 2
-                2 3 2 1 0 1
-                1 2 3 2 1 0
-            ]
-        )
+        flt = Rips([
+            0 1 2 3 2 1
+            1 0 1 2 3 2
+            2 1 0 1 2 3
+            3 2 1 0 1 2
+            2 3 2 1 0 1
+            1 2 3 2 1 0
+        ])
 
         g = OneSkeleton(flt)
         @test eltype(g) ≡ Int
@@ -127,16 +125,14 @@ end
 
 @testset "Cycle reconstruction" begin
     @testset "small cycle" begin
-        flt = Rips(
-            [
-                0 1 2 3 2 1
-                1 0 1 2 3 2
-                2 1 0 1 2 3
-                3 2 1 0 1 2
-                2 3 2 1 0 1
-                1 2 3 2 1 0
-            ]
-        )
+        flt = Rips([
+            0 1 2 3 2 1
+            1 0 1 2 3 2
+            2 1 0 1 2 3
+            3 2 1 0 1 2
+            2 3 2 1 0 1
+            1 2 3 2 1 0
+        ])
 
         interval = ripserer(flt; reps=true)[2][1]
         cyc1 = reconstruct_cycle(flt, interval)
@@ -282,16 +278,14 @@ end
     end
 
     @testset "Errors" begin
-        flt = Rips(
-            [
-                0 1 2 3 2 1
-                1 0 1 2 3 2
-                2 1 0 1 2 3
-                3 2 1 0 1 2
-                2 3 2 1 0 1
-                1 2 3 2 1 0
-            ]
-        )
+        flt = Rips([
+            0 1 2 3 2 1
+            1 0 1 2 3 2
+            2 1 0 1 2 3
+            3 2 1 0 1 2
+            2 3 2 1 0 1
+            1 2 3 2 1 0
+        ])
         _, d1, d2 = ripserer(flt; reps=2, dim_max=2)
 
         @test_throws ArgumentError reconstruct_cycle(flt, d1[1])
diff --git a/test/filtrations/custom.jl b/test/filtrations/custom.jl
index 4a1717dc..aa6db34f 100644
--- a/test/filtrations/custom.jl
+++ b/test/filtrations/custom.jl
@@ -73,16 +73,14 @@ end
 end
 
 @testset "Custom filtration vs sparse Rips" begin
-    spdist = sparse(
-        [
-            0 1 0 0 0 1
-            1 0 1 0 0 0
-            0 1 0 1 0 0
-            0 0 1 0 1 0
-            0 0 0 1 0 1
-            1 0 0 0 1 0
-        ]
-    )
+    spdist = sparse([
+        0 1 0 0 0 1
+        1 0 1 0 0 0
+        0 1 0 1 0 0
+        0 0 1 0 1 0
+        0 0 0 1 0 1
+        1 0 0 0 1 0
+    ])
     cf = Custom([
         (1,) => 0,
         (2,) => 0,