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.
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.
perl-xs
Posts with mentions or reviews of perl-xs.
We have used some of these posts to build our list of alternatives
and similar projects.
We haven't tracked posts mentioning perl-xs yet.
Tracking mentions began in Dec 2020.
PyO3
Posts with mentions or reviews of PyO3.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2026-02-27.
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What I learned building a workflow engine from scratch in Rust
Python gets bindings through PyO3. The Rust core handles all orchestration, checkpointing, and task claiming. Python provides task implementations — plain functions stored in a dict, looked up by task ID at runtime. The @task decorator is pure Python sugar that registers a callable; when the engine needs to run a task, it calls back into Python with the deserialized input and gets the output back.
- C Is Best
- Rust Bindings for the Python Interpreter
- Show HN: Robyn – "Batman Inspired" Python Web Framework Built with Rust
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Ask HN: Python in the NoGIL World
PyO3 0.23.0 was a big release I’ve been tinkering with extensively and support for “free-threaded Python” is a headline feature and I imagine this NoGIL Python will be extremely nice for Rust interoperability so there is definitely interest in that crate. Also could be huge for queueing data for GPUs, api servers, bulk data fetching.
For whatever reason (maybe post 2to3 PTSD), Python community seems not extremely eager to jump on latest versions of Python and it often takes a long time for popular libraries to support the latest and greatest, so I’d recommend patience and baby steps
https://github.com/PyO3/pyo3/releases/tag/v0.23.0
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How to introduce 🦀 Rust at your company 🏭?
🤖 Unlike the above languages Rust can also be used as a replacement of part of the application. Especially if there is a part that needs some speed-up or needs some memory saving. One could replace part of a Python or Node project by Rust and embed the code using PyO3 or napi respectively. This is also going to be the topic of the presentation of Aviram Hassan called Microdosing Rust to your organization.
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An interpreter inside an interpreter
The interop shop for Rust and Python is Pyo3. As the only game in town, Pyo3 uses the Foreign Function Interface (FFI) to allow your Rust code to make calls into the CPython binary. This works by agreeing on the Application Binary Interface (ABI), a concept I used during my career at AMD. Core software ftw!
- GraalPy – A high-performance embeddable Python 3 runtime for Java
- Advanced Python: Achieving High Performance with Code Generation
What are some alternatives?
When comparing perl-xs and PyO3 you can also consider the following projects:
mi-rust - Helpers to build Perl extensions written in Rust.
rust-cpython - Rust <-> Python bindings
pybind11 - Seamless operability between C++11 and Python
cbindgen - A project for generating C bindings from Rust code
uniffi-rs - a multi-language bindings generator for rust