apischema v0.17 - I've developed the fastest typed JSON (de)serialization library, and you can also build your GraphQL schema with it

• apischema

  2 117 9.1 Python

  JSON (de)serialization, GraphQL and JSON schema generation using Python typing.

  Take a look at the documentation: https://wyfo.github.io/apischema/ (I've put so much of my sleeping hours in it 😅)

• pydantic

  74 9,926 8.9 Python

  Data parsing and validation using Python type hints

  You've surely heard about Pydantic, which has contributed a lot to popularize the use Python typing for JSON serialization. I was so enthusiastic when I discovered for the first time, but I also got frustrated pretty quickly. So I've started to work on my own prototype, and things got more and more serious over time (more than 11k lines of code, as much as Pydantic, 1k download/day).

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• mashumaro

  2 403 9.2 Python

  Fast and well tested serialization framework on top of dataclasses

  This month, I've released version 0.17, and it's now blazing fast; there is in fact no more comparison with Pydantic, which more than 5x slower (up to 30x in serialization). It's also faster than alternatives like mashumaro or cattrs. (See the quick benchmark result in documentation, and the code)

• cattrs

  4 469 9.2 Python

  Complex custom class converters for attrs.

  

  This month, I've released version 0.17, and it's now blazing fast; there is in fact no more comparison with Pydantic, which more than 5x slower (up to 30x in serialization). It's also faster than alternatives like mashumaro or cattrs. (See the quick benchmark result in documentation, and the code)

• mypy

  30 13,100 9.8 Python

  Optional static typing for Python

  

  Personally, I rely on static typing, and it rarely deceived me. I'm very impatient concerning https://github.com/python/mypy/issues/9773, which will allow finally to fully type apischema functions. Trends are evolving, TypeScript adoption is a good example.

• anchorpy

  5 113 9.7 Python

  The Python Anchor client.

  I used this for parsing a JSON IDL and it worked really well https://github.com/kevinheavey/anchorpy/blob/main/src/anchorpy/idl.py

• squall

  1 21 7.7 Python

  

  By the way, while I was looking at the GitHub projects that are using apischema, I've discover https://github.com/mtag-dev/squall, a fork of FastAPI but using apischema among other differences.

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