awesome-pyproject
awesome-flake8-extensions
awesome-pyproject | awesome-flake8-extensions | |
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1 | 4 | |
904 | 1,193 | |
- | - | |
5.4 | 6.4 | |
4 months ago | about 1 month ago | |
Creative Commons Zero v1.0 Universal | GNU General Public License v3.0 or later |
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.
awesome-pyproject
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"Even with --dry-run pip will execute arbitrary code found in the package's setup.py. In fact, merely asking pip to download a package can execute arbitrary code"
most important projects support pyproject.toml: https://github.com/carlosperate/awesome-pyproject
awesome-flake8-extensions
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A Tale of Two Kitchens - Hypermodernizing Your Python Code Base
Ultimately we want to test our code with Flake8 and plugins to enforce a more consistent code style and to encourage best practices. When you first introduce flake8 or a new plug-in commonly you have a lot of violations that you can silence with a #noqa comment. When you first introduce a new flake8 plugin, you will likely have a lot of violations, which you silence with #noqa comments. Over time these comments will become obsolete because you fixed the. yesqa will automatically remove these unnecessary #noqa comments.
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Python toolkits
flake8 for linting along with following plugin (list of awesome plugin can be found here, but me and my teammates have selected the below one. Have linting but don't make it too hard.) flake8-black which uses black for code formatting check. flake8-isort which uses isort for separation of import in section and formatting them alphabetically. flake8-bandit which uses bandit for security linting. flake8-bugbear for finding likely bugs and design problems in your program. flake8-bugbear - Finding likely bugs and design problems in your program. pep8-naming for checking the PEP-8 naming conventions. mccabe for Ned’s script to check McCabe complexity flake8-comprehensions for writing better list/set/dict comprehensions.
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Write better Python - with some help!
In addition to this out of the box -linting, there are loads of flake8 extensions that can help you with for example switching from .format() to using f-strings or checking that your naming follows the PEP8 guidelines. For example, adding flake8-length adds line length checking to the linting.
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Standards to be aware of
And if you're using flake8, make sure to check out its plugins. Here's a good list: https://github.com/DmytroLitvinov/awesome-flake8-extensions
What are some alternatives?
pyunifiprotect - Unofficial UniFi Protect Python API and CLI
black - The uncompromising Python code formatter
gh-action-pypi-publish - The blessed :octocat: GitHub Action, for publishing your :package: distribution files to PyPI: https://github.com/marketplace/actions/pypi-publish
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
build - A simple, correct Python build frontend
unimport - :rocket: The ultimate linter and formatter for removing unused import statements in your code. [Moved to: https://github.com/hakancelikdev/unimport]
Python-for-SysAdmin - Python for Systems Administrator
pep8-naming - Naming Convention checker for Python
open-source-mac-os-apps - 🚀 Awesome list of open source applications for macOS. https://t.me/s/opensourcemacosapps
pyre-check - Performant type-checking for python.
awesome-hackathon-projects - This is a curated list of amazing hackathon projects
flakes - list of flake8 plugins and their codes