Fable.Python VS mypy

Compare Fable.Python vs mypy and see what are their differences.

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Fable.Python mypy
4 112
125 17,506
0.0% 1.4%
6.9 9.7
10 days ago 5 days ago
F# Python
MIT License GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Fable.Python

Posts with mentions or reviews of Fable.Python. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-17.

mypy

Posts with mentions or reviews of mypy. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-11.
  • The GIL can now be disabled in Python's main branch
    8 projects | news.ycombinator.com | 11 Mar 2024
  • Polars – A bird's eye view of Polars
    4 projects | news.ycombinator.com | 13 Feb 2024
    It's got type annotations and mypy has a discussion about it here as well: https://github.com/python/mypy/issues/1282
  • Static Typing for Python
    1 project | news.ycombinator.com | 27 Jan 2024
  • Python 3.13 Gets a JIT
    11 projects | news.ycombinator.com | 9 Jan 2024
    There is already an AOT compiler for Python: Nuitka[0]. But I don't think it's much faster.

    And then there is mypyc[1] which uses mypy's static type annotations but is only slightly faster.

    And various other compilers like Numba and Cython that work with specialized dialects of Python to achieve better results, but then it's not quite Python anymore.

    [0] https://nuitka.net/

    [1] https://github.com/python/mypy/tree/master/mypyc

  • Introducing Flask-Muck: How To Build a Comprehensive Flask REST API in 5 Minutes
    3 projects | dev.to | 20 Dec 2023
  • WeveAllBeenThere
    1 project | /r/ProgrammerHumor | 7 Dec 2023
    In Python there is MyPy that can help with this. https://www.mypy-lang.org/
  • It's Time for a Change: Datetime.utcnow() Is Now Deprecated
    5 projects | news.ycombinator.com | 19 Nov 2023
    It's funny you should say this.

    Reading this article prompted me to future-proof a program I maintain for fun that deals with time; it had one use of utcnow, which I fixed.

    And then I tripped over a runtime type problem in an unrelated area of the code, despite the code being green under "mypy --strict". (and "100% coverage" from tests, except this particular exception only occured in a "# pragma: no-cover" codepath so it wasn't actually covered)

    It turns out that because of some core decisions about how datetime objects work, `datetime.date.today() < datetime.datetime.now()` type-checks but gives a TypeError at runtime. Oops. (cause discussed at length in https://github.com/python/mypy/issues/9015 but without action for 3 years)

    One solution is apparently to use `datetype` for type annotations (while continuing to use `datetime` objects at runtime): https://github.com/glyph/DateType

  • What's New in Python 3.12
    5 projects | news.ycombinator.com | 18 Oct 2023
    PEP 695 is great. I've been using mypy every day at work in last couple years or so with very strict parameters (no any type etc) and I have experience writing real life programs with Rust, Agda, and some Haskell before, so I'm familiar with strict type systems. I'm sure many will disagree with me but these are my very honest opinions as a professional who uses Python types every day:

    * Some types are better than no types. I love Python types, and I consider them required. Even if they're not type-checked they're better than no types. If they're type-checked it's even better. If things are typed properly (no any etc) and type-checked that's even better. And so on...

    * Having said this, Python's type system as checked by mypy feels like a toy type system. It's very easy to fool it, and you need to be careful so that type-checking actually fails badly formed programs.

    * The biggest issue I face are exceptions. Community discussed this many times [1] [2] and the overall consensus is to not check exceptions. I personally disagree as if you have a Python program that's meticulously typed and type-checked exceptions still cause bad states and since Python code uses exceptions liberally, it's pretty easy to accidentally go to a bad state. E.g. in the linked github issue JukkaL (developer) claims checking things like "KeyError" will create too many false positives, I strongly disagree. If a function can realistically raise a "KeyError" the program should be properly written to accept this at some level otherwise something that returns type T but 0.01% of the time raises "KeyError" should actually be typed "Raises[T, KeyError]".

    * PEP 695 will help because typing things particularly is very helpful. Often you want to pass bunch of Ts around but since this is impractical some devs resort to passing "dict[str, Any]"s around and thus things type-check but you still get "KeyError" left and right. It's better to have "SomeStructure[T]" types with "T" as your custom data type (whether dataclass, or pydantic, or traditional class) so that type system has more opportunities to reject bad programs.

    * Overall, I'm personally very optimistic about the future of types in Python!

    [1] https://github.com/python/mypy/issues/1773

  • Mypy 1.6 Released
    5 projects | news.ycombinator.com | 17 Oct 2023
  • Ask HN: Why are all of the best back end web frameworks dynamically typed?
    4 projects | news.ycombinator.com | 5 Oct 2023
    You probably already know but you can add type hints and then check for consistency with https://github.com/python/mypy in python.

    Modern Python with things like https://learnpython.com/blog/python-match-case-statement/ + mypy + Ruff for linting https://github.com/astral-sh/ruff can get pretty good results.

    I found typed dataclasses (https://docs.python.org/3/library/dataclasses.html) in python using mypy to give me really high confidence when building data representations.