Pydantic 2 vs MsgSpec

Libs used for benchmark:

Note that Pydantic used in benchmark is v2 which should be dozen of times faster than Pydantic v1. I have no time to waste benchmarking Pydantic v1.

Usage

Install virtual environment

poetry install

Create test data

Edit benchmark/factories.py and set COLUMNS_COUNT and PLANOGRAMS_COUNT to desired size.
Uncomment create_test_file(TEST_DATA_FILE) line in main.py
Run main.py

You can comment back this line after json test file is created.

Run benchmark

python main.py

Results

Test file: json, 162MB

*** Running PydanticBenchmark
Finished in 10.733s
*** Running AttrsBenchmark
Finished in 3.271s
*** Running MsgSpecBenchmark
Finished in 1.685s

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