autoflake
sourcery
Our great sponsors
autoflake | sourcery | |
---|---|---|
8 | 13 | |
858 | 1,476 | |
1.9% | 0.6% | |
8.1 | 6.5 | |
1 day ago | 6 days ago | |
Python | ||
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.
autoflake
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Embracing Modern Python for Web Development
Ruff is not only much faster, but it is also very convenient to have an all-in-one solution that replaces multiple other widely used tools: Flake8 (linter), isort (imports sorting), Black (code formatter), autoflake, many Flake8 plugins and more. And it has drop-in parity with these tools, so it is really straightforward to migrate from them to Ruff.
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Improve your Django Code with pre-commit
Ruff can be used to replace Flake8 (plus dozens of plugins), isort, pydocstyle, yesqa, eradicate, pyupgrade, and autoflake, all while executing tens or hundreds of times faster than any individual tool.
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Quick wins in improving your Python codebase health
Having unused imports in a Python file is a prevalent issue, with a very easy solution: autoflake. Running it over your files will remove any unused imports in place.
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Makefile for your Django project
cleanimports: runs isort and removes unused imports with Autoflake. Be sure to set up profile=black in isort settings to avoid conflicts with Black.
- Automatically find and remove unused import statements in your project.
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Formatting Code with Black
We use isort[0] for this. It even has a "black" compatible profile that line spits along black's defaults. Additionally we use autoflake[1] to remove unused import statements in place.
[0](https://github.com/PyCQA/isort)
[1](https://github.com/PyCQA/autoflake)
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Python Code Quality - Improve the quality of your Python code with linters, code formatters, and security vulnerability scanners
yaml repos: - repo: https://github.com/myint/autoflake rev: v1.4 hooks: - id: autoflake args: - --in-place - --remove-all-unused-imports - --expand-star-imports - --remove-duplicate-keys - --remove-unused-variables - repo: https://github.com/asottile/pyupgrade rev: v2.29.0 hooks: - id: pyupgrade args: [--py36-plus] - repo: https://github.com/PyCQA/isort rev: 5.9.3 hooks: - id: isort - repo: https://github.com/psf/black rev: 21.10b0 hooks: - id: black args: [--safe, --quiet] - repo: https://github.com/PyCQA/flake8 rev: 4.0.1 hooks: - id: flake8 - repo: local hooks: - id: pylint name: pylint entry: pylint language: system types: [python] args: [ "-rn", "-sn", ] - repo: https://github.com/pre-commit/mirrors-mypy rev: v0.910-1 hooks: - id: mypy name: mypy entry: mypy language: python types: [python] args: [] require_serial: true - repo: https://github.com/pre-commit/mirrors-prettier rev: v2.4.1 hooks: - id: prettier args: [--prose-wrap=always, --print-width=88]
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Automate Clean Code and Linting in Python
autoflake 400+⭐️
sourcery
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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.
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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.
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[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/
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What are the best Python libraries to learn for beginners?
During development, tools like Sourcery could show you improvements for code quality.
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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.
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git client for kde (gitklient)
"Sourcery" exists
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Making Python Code Idiomatic by Automatic Refactoring Non-Idiomatic Python Code with Pythonic Idioms
Looks downright wicked https://sourcery.ai/
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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?
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[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.
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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?
What are some alternatives?
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.
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
autopep8 - A tool that automatically formats Python code to conform to the PEP 8 style guide.
ruff - An extremely fast Python linter and code formatter, written in Rust.
isort - A Python utility / library to sort imports.
pre-commit - A framework for managing and maintaining multi-language pre-commit hooks.
Pylint - It's not just a linter that annoys you!
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.
pyupgrade - A tool (and pre-commit hook) to automatically upgrade syntax for newer versions of the language.
study-path - An organized learning path on Clean Code, Test-Driven Development, Legacy Code, Refactoring, Domain-Driven Design and Microservice Architecture