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

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  • apischema

    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

    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).

  • Scout APM

    Less time debugging, more time building. Scout APM allows you to find and fix performance issues with no hassle. Now with error monitoring and external services monitoring, Scout is a developer's best friend when it comes to application development.

  • mashumaro

    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

    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

    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

    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

    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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