Cython
miri
Our great sponsors
Cython | miri | |
---|---|---|
79 | 120 | |
8,912 | 3,955 | |
1.9% | 3.6% | |
9.8 | 10.0 | |
5 days ago | 5 days ago | |
Python | Rust | |
Apache License 2.0 | 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.
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
-
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.
-
Never again
and again, everything that was released after using an older version of cython.
-
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.
-
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.)
-
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.
-
Python executable makers
Cython - - embed demo
miri
-
RFC: Rust Has Provenance
Provenance is a dynamic property of pointer values. The actual underlying rules that a program must follow, even when using raw pointers and `unsafe`, are written in terms of provenance. Miri (https://github.com/rust-lang/miri) represents provenance as an actual value stored alongside each pointer's address, so it can check for violations of these rules.
Lifetimes are a static approximation of provenance. They are erased after being validated by the borrow checker, and do not exist in Miri or have any impact on what transformations the optimizer may perform. In other words, the provenance rules allow a superset of what the borrow checker allows.
- Mir: Strongly typed IR to implement fast and lightweight interpreters and JITs
-
Running rustc in a browser
There has been discussion of doing this with MIRI, which would be easier than all of rustc.
-
Piecemeal dropping of struct members causes UB? (Miri)
This issue has been fixed: https://github.com/rust-lang/miri/issues/2964
- Erroneous UB Error with Miri?
-
I've incidentally created one of the fastest bounded MPSC queue
Actually, I've done more advanced tests with MIRI (see https://github.com/rust-lang/miri/issues/2920 for example) which allowed me to fix some issues. I've also made the code compatible with loom, but I didn't found the time yet to write and execute loom tests. That's on the TODO-list, and I need to track it with an issue too.
-
Interested in "secure programming languages", both theory and practice but mostly practice, where do I start?
He is one of the big brains behind Miri, which is a interpreter that runs on the MIR (compiler representation between human code and asm/machine code) and detects undefined behavior. Super useful tool for language safety, pretty interesting on its own.
-
Formal verification for unsafe code?
I would also run your tests in Miri (https://github.com/rust-lang/miri) to try to cover more bases.
-
Ouroboros is also unsound
You can run miri and it will tell you if the given run triggered any undefined behavior. It will not analyze it for every possible use of the code, but checking for the presence of this specific issue using it should be fairly simple.
-
From Stacks to Trees: A new aliasing model for Rust
If you do encounter a piece of code on which TB performs much worse than SB, do submit it as an issue! There was one recently and we massively improved TB performance on this case by improving garbage collection.
What are some alternatives?
SWIG - SWIG is a software development tool that connects programs written in C and C++ with a variety of high-level programming languages.
cons-list - Singly-linked list implementation in Rust
PyPy
sanitizers - AddressSanitizer, ThreadSanitizer, MemorySanitizer
mypyc - Compile type annotated Python to fast C extensions
rust - Empowering everyone to build reliable and efficient software.
Pyston - A faster and highly-compatible implementation of the Python programming language.
Rust-Full-Stack - Rust projects here are easy to use. There are blog posts for them also.
Stackless Python
rfcs - RFCs for changes to Rust
Pyjion
nomicon - The Dark Arts of Advanced and Unsafe Rust Programming