typed_python VS mypyc-benchmark-results

Compare typed_python vs mypyc-benchmark-results and see what are their differences.

typed_python

An llvm-based framework for generating and calling into high-performance native code from Python. (by APrioriInvestments)
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typed_python mypyc-benchmark-results
2 4
194 10
-0.5% -
5.4 9.4
3 months ago 8 days ago
Python
Apache License 2.0 MIT License
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.

typed_python

Posts with mentions or reviews of typed_python. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-02-23.
  • Do Python Developers Want Static Typing?
    1 project | /r/Python | 28 Feb 2021
  • Mypyc: Compile type-annotated Python to C
    6 projects | news.ycombinator.com | 23 Feb 2021
    I am always keeping and eye on mypyc, typed_python (llvm Python compiler)[0] and nuitka[1]

    I guess that because Python is extremely dynamic, we may never have a full everything-works compiler, but I’m excited about the possibility of this becoming some kind of intermediate step where different parts of the program get compiled when possible.

    [0] https://github.com/APrioriInvestments/typed_python

mypyc-benchmark-results

Posts with mentions or reviews of mypyc-benchmark-results. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-07-29.
  • LPython: Novel, Fast, Retargetable Python Compiler
    5 projects | news.ycombinator.com | 29 Jul 2023
    This looks very cool ! There is also MyPyC which is not in the comparison table, but worth noting.

    They have some benchmarks vs regular python here :

    https://github.com/mypyc/mypyc-benchmark-results/blob/master...

    One difference is that MyPyC compiles your code to a C extension, so your are still dependent on python. On the other hand you can call regular python libraries with the normal syntax while, in LPython, the "break-out" syntax to regular libraries isn't straightforward

    In any case super exiting to see work going into AOT python

  • Statically typed Python
    7 projects | /r/Python | 30 Nov 2021
  • I Want a New Duck
    2 projects | news.ycombinator.com | 18 Mar 2021
    The post isn't about performance, and is aimed at people using Python for whatever reason, so, sure, retrofit away.

    That said, if you care about the performance improvements that typing can give you with Mypy, you might want to look here:

    https://github.com/mypyc/mypyc-benchmark-results/blob/master...

    It won't be going toe to toe with Rust any time soon, but a 4x to 17x speedup is nothing to sneeze at.

  • Mypyc: Compile type-annotated Python to C
    6 projects | news.ycombinator.com | 23 Feb 2021
    https://github.com/mypyc/mypyc-benchmark-results/blob/master...

What are some alternatives?

When comparing typed_python and mypyc-benchmark-results you can also consider the following projects:

pyccel - Python extension language using accelerators

mypy - Optional static typing for Python

mypyc - Compile type annotated Python to fast C extensions

pex - A tool for generating .pex (Python EXecutable) files, lock files and venvs.

pydantic - Data validation using Python type hints

Plagiarism-checker-Python - A python project for checking plagiarism of documents based on cosine similarity

pyre-check - Performant type-checking for python.

lpython - Python compiler