jnumpy
ruff
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jnumpy | ruff | |
---|---|---|
9 | 95 | |
227 | 26,504 | |
0.9% | 8.1% | |
3.9 | 10.0 | |
11 days ago | 5 days ago | |
Julia | Rust | |
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.
jnumpy
- Making Python 100x faster with less than 100 lines of Rust
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This Week in Python
jnumpy – Writing Python C extensions in Julia within 5 minutes
- GitHub - Suzhou-Tongyuan/jnumpy: Writing Python C extensions in Julia within 5 minutes.
- JNumPy: Writing high-performance C extensions for Python in minutes
ruff
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Ask HN: High quality Python scripts or small libraries to learn from
I think I mention this all the time when this comes up, but I learned the most 'best practices' through using ruff.
https://docs.astral.sh/ruff/
I just installed and enabled all the rules by setting
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Enhance Your Project Quality with These Top Python Libraries
Ruff is a Python linter that helps to identify and remove code smells. Over 700 built-in rules: Ruff includes native re-implementations of popular Flake8 plugins, like flake8-bugbear. And also built-in caching to avoid re-analyzing unchanged files.
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Ask HN: What interesting project ideas you've got but have no time to work on?
Because the Python's "ast" modules is too slow, and lacks proper "format" feature (it has unparse but it removes comments, and forgets the current style completely). I use "ruff" a lot (https://github.com/astral-sh/ruff) which is in Rust. But I want to be able to implement fast custom linters in Go (linters that ruff / fixit lack, and Python linters lack or are too slow).
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Rye: A Vision Continued
I think it’s interesting that rye uses ruff (https://github.com/astral-sh/ruff) for linting and formatting. That’s the right call, and it’s also correct to bundle that in for an integrated dev experience.
I had to guess, that’s the path that the Astral team would take as well - expand ruff’s capabilities so it can do everything a Python developer needs. So the vision that Armin is describing here might be achieved by ruff eventually. They’d have an advantage that they’re not a single person maintenance team, but the disadvantage of needing to show a return to their investors.
- An fast Python linter and code formatter, written in Rust
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Smooth Packaging: Flowing from Source to PyPi with GitLab Pipelines
Adding more weight to ease of setup and configurability, the choice came down on flake8. It is easy to integrate, since its also available through pip and let’s you configure which standards you want to omit by simply stating them as a list via the --ignore switch. Moving to ruff appears quite smooth, so future updates may do so.
- Show HN: Marimo – an open-source reactive notebook for Python
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AST-grep(sg) is a CLI tool for code structural search, lint, and rewriting
I confess I stole the pip recipe from Charlie :D
https://github.com/astral-sh/ruff/blob/main/.github/workflow...
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Embracing Modern Python for Web Development
Ruff is an emerging tool in the Python ecosystem that describes itself as "an extremely fast Python linter and code formatter, written in Rust".
- Ruff: An fast Python linter and code formatter, written in Rust
What are some alternatives?
makepackage - Package for easy packaging of Python code
black - The uncompromising Python code formatter
ideas
mypy - Optional static typing for Python
poly-match - Source for the "Making Python 100x faster with less than 100 lines of Rust" blog post
pyright - Static Type Checker for Python
PythonCall.jl - Python and Julia in harmony.
Pylint - It's not just a linter that annoys you!
log-booster - An VS code extension to quickly add frequently used log statements
Flake8 - flake8 is a python tool that glues together pycodestyle, pyflakes, mccabe, and third-party plugins to check the style and quality of some python code.
Schemathesis - Automate your API Testing: catch crashes, validate specs, and save time
pre-commit - A framework for managing and maintaining multi-language pre-commit hooks.