awesome-python-code-formatters
safety
awesome-python-code-formatters | safety | |
---|---|---|
4 | 7 | |
278 | 1,632 | |
3.2% | 0.9% | |
3.7 | 6.8 | |
2 months ago | 4 days ago | |
Shell | 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.
awesome-python-code-formatters
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A Tale of Two Kitchens - Hypermodernizing Your Python Code Base
Awesome Python Code Formatters
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I made an advanced math flash card game in python using tkinter!
So yeah follow PEP8, get some linter and formatter to make your code better.
- awesome-python-code-formatters: A curated list of awesome Python code formatters
safety
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A Tale of Two Kitchens - Hypermodernizing Your Python Code Base
Safety and Dependabot complement these security tools by focusing on external dependencies. Safety takes charge of examining your dependencies, ensuring they are up-to-date and free from any known vulnerabilities. Dependabot works similarly, scanning dependencies, verifying if they're current and assessing them for potential security flaws. This function is crucial as weaknesses in external dependencies can compromise the security of the entire codebase.
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Any resources for writing production-grade code in Python?
https://pyup.io/safety/ for security checks of dependencies
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On dependency on external libraries
I'm trying this tool at the moment: https://pyup.io/safety/
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I think the CTX package on PyPI has been hacked!
Checking could be done if something like this eventually shows up in safety or pip-audit.
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Creating A Modern Python Development Environment
A 2021 security report by Snyk, states 47% of Python projects contain known vulnerabilities. On the bright hand side, almost 87% of known vulnerabilities can be resolved by upgrading the vulnerable package. Safety checks your installed dependencies for known security vulnerabilities.
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Modern Python setup for quality development
safety: Safety checks your installed dependencies for known security vulnerabilities.
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My IT department at work wants to ban Anaconda and replace it with ???
There is a python project called "safety". https://github.com/pyupio/safety If you run this after every package install or update and on a regular cadence it should catch the worst offenders much easier than having someone manually review every package.
What are some alternatives?
blue - The slightly less uncompromising Python code formatter.
bandit - Bandit is a tool designed to find common security issues in Python code.
ufmt - Safe, atomic formatting with black and µsort
pre-commit-hooks - git pre-commit hooks that work with http://pre-commit.com/
black - The uncompromising Python code formatter [Moved to: https://github.com/psf/black]
ochrona-cli - A command line tool for detecting vulnerabilities in Python dependencies and doing safe package installs
black - The uncompromising Python code formatter [Moved to: https://github.com/psf/black]
pattern-matching-in-python - Pattern Matching in Python
darker - Apply black reformatting to Python files only in regions changed since a given commit. For a practical usage example, see the blog post at https://dev.to/akaihola/improving-python-code-incrementally-3f7a
commitizen - Create committing rules for projects :rocket: auto bump versions :arrow_up: and auto changelog generation :open_file_folder:
absolufy-imports - Automatically convert relative imports to absolute
Check-WP-CVE-2020-35489 - The (WordPress) website test script can be exploited for Unlimited File Upload via CVE-2020-35489