Json-utils

numpy

Uses json_numpy for transparent loads and dumps of lists into numpy-arrayrs if the dtype is either purely int or float.

trees

Recursively read (or write) .json files in a tree of directories.

lines

JSON-lines or .jsonl is a powerful extension to the JSON-family.

import json_utils as ju

with ju.lines.open("my-items.jsonl.gz", mode="w|gz") as jl:
    for i in range(100):
        jl.write({"number": i})

with ju.lines.open("my-items.jsonl.gz", mode="r|gz") as jl:
    for obj in jl:
        print("item", obj["number"])