mypyc-benchmark-results
pyre-check
| mypyc-benchmark-results | pyre-check | |
|---|---|---|
| 4 | 24 | |
| 10 | 6,695 | |
| - | 0.5% | |
| 9.4 | 9.9 | |
| 7 days ago | 6 days ago | |
| OCaml | ||
| MIT License | MIT License |
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.
mypyc-benchmark-results
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LPython: Novel, Fast, Retargetable Python Compiler
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
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I Want a New Duck
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.
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Mypyc: Compile type-annotated Python to C
https://github.com/mypyc/mypyc-benchmark-results/blob/master...
pyre-check
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Pylyzer – A fast static code analyzer and language server for Python
Did you come across pyre in your search? MIT license and pretty fast.
https://github.com/facebook/pyre-check
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Enhance Your Project Quality with These Top Python Libraries
Pyre is a performant type-checker developed by Facebook. Pyre can analyse codebases with millions of lines of code incrementally – providing instantaneous feedback to developers as they write code.
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A Tale of Two Kitchens - Hypermodernizing Your Python Code Base
Pyre from Meta, pyright from Microsoft and PyType from Google provide additional assistance. They can 'infer' types based on code flow and existing types within the code.
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Ruff v0.1.0
Have you seen Pyre[0]? Not Rust, OCaml, and pretty fast. Made by a team at Meta and open sourced on GitHub. If you use python-lsp, I wrote an extension[1] to enable integration (though I haven't tested it recently, been programming in rust; it is mostly a "for me" extension).
0: https://pyre-check.org/
1: https://github.com/cricalix/python-lsp-pyre
- Should I Rust or should I Go
- Writing Python like it's Rust
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Buck2, a large scale build tool written in Rust by Meta, is now available
Internally we use Pyre for Python type checking: https://github.com/facebook/pyre-check
- Are there any sectors that use Haskell as a main programming language?
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It is becoming difficult for me to be productive in Python
Before type hinting, work had intense rules and linters enforcing docstrings with types. Now, type hints and automatic pyre runs take care of all the heavy lifting.
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Ruby 3.2’s YJIT is Production-Ready
Python now has an optional type system and if you add one of them such as mypy or pyre to your CI process and you can configure GitHub to refuse the pull request until types are added you can make it somewhat strongly typed.
If you have a preexisting codebase I believe the way you can convert it is to add the types that you know on commits and eventually you will have enough types that adding the missing ones should be easy. For the missing ones Any is a good choice.
https://pyre-check.org and https://github.com/python/mypy are popular.
What are some alternatives?
mypy - Optional static typing for Python
pyright - Static Type Checker for Python
mypyc - Compile type annotated Python to fast C extensions
typed_python - An llvm-based framework for generating and calling into high-performance native code from Python.
pytype - A static type analyzer for Python code
pyccel - Python extension language using accelerators
typeshed - Collection of library stubs for Python, with static types
pydantic - Data validation using Python type hints
flake8
pex - A tool for generating .pex (Python EXecutable) files, lock files and venvs.
typing - Python static typing home. Hosts the documentation and a user help forum.