sourcery
ruff
Our great sponsors
sourcery | ruff | |
---|---|---|
13 | 95 | |
1,481 | 26,504 | |
0.9% | 8.1% | |
6.3 | 10.0 | |
13 days ago | 6 days ago | |
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.
sourcery
-
Ask HN: How do you get an open-source product noticed by developers?
In my experience, the developer tools that really catch on do so via word of mouth. For example, our whole team recently adopted https://sourcery.ai/ (not an ad) because one developer tried it and hyped it up to everyone else who also liked it.
-
Google Python Style Guide
To those that wish to automate a subset of these conventions, there is a tool called Sourcery[1] that I, personally, am a huge fan of! Not only does it have a large set of default rules[2], but it can also allow you to write your own rules that may be specific to your team or organization, and as mentioned it can enable you to follow Google's Python style guide as well[3].
There are some refactorings that Sourcery suggest that I don't agree with myself, namely the usage of 'contextlib.suppress'[4] as I don't like to introduce an additional 'import' statement just to do something so trivial. I wish Sourcery would add the relevance of having possibly too many 'import' statements as a heuristic.
---
[1]: https://sourcery.ai/
[2]: https://docs.sourcery.ai/Reference/Default-Rules/ (expand the sub-pages)
[3]: https://docs.sourcery.ai/Reference/Optional-Rules/gpsg/
-
What are the best Python libraries to learn for beginners?
During development, tools like Sourcery could show you improvements for code quality.
-
Quick wins in improving your Python codebase health
One of the first tools I install when setting up my Python dev environment is Sourcery. This still uses AI/ML to suggest code improvements to your Python code, but unlike GitHub's Copilot, it won't write code for you.
-
git client for kde (gitklient)
"Sourcery" exists
-
Making Python Code Idiomatic by Automatic Refactoring Non-Idiomatic Python Code with Pythonic Idioms
Looks downright wicked https://sourcery.ai/
-
Create file if it doesn't exist, as well as its folders?
As a bit of trivia, https://sourcery.ai/ will replace
- Is there a linter which would suggest using elif rather than an else in an if clause?
-
[lspconfig] The Authentication token must be provided
I guess you have to signup in their website sourcery.ai. I actually don't use sourcery, I don't know the details on how to get the token.
-
Tools to write clean Go code
When I'm writing Python, one of my favorite tools is [Sourcery](https://sourcery.ai/). Are there any similar tools for Go? What else do you recommend?
ruff
-
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
-
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.
-
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).
-
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
-
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
-
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...
-
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?
jedi - Awesome autocompletion, static analysis and refactoring library for python
black - The uncompromising Python code formatter
pylsp-rope - Extended refactoring capabilities for python-lsp-server using Rope
mypy - Optional static typing for Python
pre-commit - A framework for managing and maintaining multi-language pre-commit hooks.
pyright - Static Type Checker for Python
yt-channels-DS-AI-ML-CS - A comprehensive list of 180+ YouTube Channels for Data Science, Data Engineering, Machine Learning, Deep learning, Computer Science, programming, software engineering, etc.
Pylint - It's not just a linter that annoys you!
study-path - An organized learning path on Clean Code, Test-Driven Development, Legacy Code, Refactoring, Domain-Driven Design and Microservice Architecture
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.
GildedRose-Refactoring-Kata - Starting code for the GildedRose Refactoring Kata in many programming languages.