benchmarks
Cython
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benchmarks | Cython | |
---|---|---|
40 | 79 | |
2,741 | 8,912 | |
- | 1.7% | |
7.2 | 9.8 | |
3 months ago | about 6 hours ago | |
Makefile | Python | |
MIT License | Apache License 2.0 |
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.
benchmarks
- Some Benchmarks of Different Languages
- Building a high performance JSON parser
- Top 5 Fastest Programming Languages
- Twitter (re)Releases Recommendation Algorithm on GitHub
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How green or energy efficient is the Go programming language?
GitHub - kostya/benchmarks: Some benchmarks of different languages
- how to benchmark a programming language
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Ruby 3.2.0 Is from Another Dimension
In all the language comparisons I've found over the years, Python consistently comes out slightly slower, for example:
https://github.com/kostya/benchmarks
Bearing in mind these are probably not even using YJIT, which makes Ruby considerably faster in some scenarios.
- I made a 88x88 version of the big display image command generator in Python! (will share github link if admins allow it)
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The original computer languages benchmark is back
Also, here is another benchmark: https://github.com/kostya/benchmarks
- Why does Scala seem to be slow at benchmark results?
Cython
- Ask HN: C/C++ developer wanting to learn efficient Python
- Ask HN: Is there a way to use Python statically typed or with any type-checking?
- Cython 3.0
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How to make a c++ python extension?
The approach that I favour is to use Cython. The nice thing with this approach is that your code is still written as (almost) Python, but so long as you define all required types correctly it will automatically create the C extension for you. Early versions of Cython required using Cython specific typing (Python didn't have type hints when Cython was created), but it can now use Python's type hints.
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Never again
and again, everything that was released after using an older version of cython.
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Codon: Python Compiler
Just for reference,
* Nuitka[0] "is a Python compiler written in Python. It's fully compatible with Python 2.6, 2.7, 3.4, 3.5, 3.6, 3.7, 3.8, 3.9, 3.10, and 3.11."
* Pypy[1] "is a replacement for CPython" with builtin optimizations such as on the fly JIT compiles.
* Cython[2] "is an optimising static compiler for both the Python programming language and the extended Cython programming language... makes writing C extensions for Python as easy as Python itself."
* Numba[3] "is an open source JIT compiler that translates a subset of Python and NumPy code into fast machine code."
* Pyston[4] "is a performance-optimizing JIT for Python, and is drop-in compatible with ... CPython 3.8.12"
[0] https://github.com/Nuitka/Nuitka
[1] https://www.pypy.org/
[2] https://cython.org/
[3] https://numba.pydata.org/
[4] https://github.com/pyston/pyston
- Slow Rust Compiler is a Feature, not a Bug.
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Any faster Python alternatives?
Profile and optimize the hotspots with cython (or whatever the cool kids are using these days... It's been a while.)
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What exactly is 'JIT'?
JIT essentially means generating machine code for the language on the fly, either during loading of the interpreter (method JIT), or by profiling and optimizing hotspots (tracing JIT). The language itself can be statically or dynamically typed. You could also compile a dynamic language ahead of time, for example, cython.
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Python executable makers
Cython - - embed demo
What are some alternatives?
libuv - Cross-platform asynchronous I/O
SWIG - SWIG is a software development tool that connects programs written in C and C++ with a variety of high-level programming languages.
lua-languages - Languages that compile to Lua
PyPy
julia - The Julia Programming Language
mypyc - Compile type annotated Python to fast C extensions
beartype - Unbearably fast near-real-time hybrid runtime-static type-checking in pure Python.
Pyston - A faster and highly-compatible implementation of the Python programming language.
Stackless Python
circe - Yet another JSON library for Scala
Pyjion