pip-audit
squelch
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pip-audit
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Smooth Packaging: Flowing from Source to PyPi with GitLab Pipelines
Next up is making sure, none of the dependencies used throughout the project brings with it any already identified security issue. The makefile target audit, invokes the handy tool pip-audit.
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Show HN: One makefile to rule them all
Here is my "one true" Makefile for Python projects[1]. The skeleton gets tweaked slightly each time, but it's served me well for 4+ years.
[1]: https://github.com/pypa/pip-audit/blob/main/Makefile
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Pyscan: A command-line tool to detect security issues in your python dependencies.
Why use this over the established https://pypi.org/project/pip-audit/ ?
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How Attackers Can Sneakily Slip Malware Packages Into Poetry.lock Files
https://pypi.org/project/pip-audit/ details usage and the GitHub Action install.
- How to improve Python packaging, or why 14 tools are at least 12 too many
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Underappreciated Challenges with Python Packaging
If it's pure Python, the only packaging file you need is `pyproject.toml`. You can fill that file with packaging metadata per PEP 518 and PEP 621, including using modern build tooling like flit[1] for the build backend and build[2] for the frontend.
With that, you entire package build (for all distribution types) should be reducible to `python -m build`. Here's an example of a full project doing everything with just `pyproject.toml`[3] (FD: my project).
[1]: https://github.com/pypa/flit
[2]: https://github.com/pypa/build
[3]: https://github.com/pypa/pip-audit
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Auditing your python environment
- repo: https://github.com/trailofbits/pip-audit rev: v2.4.3 hooks: - id: pip-audit args: [ "-r", "requirements.txt" ] ci: # Leave pip-audit to only run locally and not in CI # pre-commit.ci does not allow network calls skip: [ pip-audit ]
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How to create a Python package in 2022
This is really nicely written; kudos to the author for compiling a great deal of information in a readable format.
If I can be forgiven one nitpick: Poetry does not use a PEP 518-style[1] build configuration by default, which means that its use of `pyproject.toml` is slightly out of pace with the rest of the Python packaging ecosystem. That isn't to say that it isn't excellent, because it is! But you the standards have come a long way, and you can now use `pyproject.toml` with any build backend as long as you use the standard metadata.
By way of example, here's a project that's completely PEP 517 and PEP 518 compatible without needing a setup.py or setup.cfg[2]. Everything goes through pyproject.toml.
[1]: https://peps.python.org/pep-0518/
[2]: https://github.com/trailofbits/pip-audit/blob/main/pyproject...
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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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Open-source way to scan dependencies for CVEs?
Something like python's pip-audit. For commercial solutions I know there's Snyk and Jfrog we can always purchase, but I'm interested to see if there's an open-source tool that can do this.
squelch
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Black, the Uncompromising (Python) Code Formatter Is Stable
Although the constructs are nearly structurally identical, they can be formatted very differently, which sometimes hinders understanding them.
A different approach would be to instead normalize all words to a certain fixed width. So, "to_add" and "to_remove" would have the same virtual width.
A related issue is that leading indentation counts towards the width limit. This causes refactorings which simply move code around (changing its indentation level) to change the code's shape, even when the code hasn't otherwise changed. This is exacerbated by that one often needs to shape code in such a way that Black formats it in an agreeable way, but this is generally not done during refactorings, so the readability of the code suffers.
I had the opportunity to write a formatter (for SQL, also unconfigurable/opinionated); it seems to successfully avoid these problems: https://github.com/CyberShadow/squelch
What are some alternatives?
ochrona-cli - A command line tool for detecting vulnerabilities in Python dependencies and doing safe package installs
prettier - Prettier is an opinionated code formatter.
git-hooks.nix - Seamless integration of https://pre-commit.com git hooks with Nix.
tan - The uncompromising Python code formatter
npm-esbuild-audit
yapf - A formatter for Python files
setup-dvc - DVC GitHub action
ipython - Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
aura - Python source code auditing and static analysis on a large scale
black - The uncompromising Python code formatter
tox-poetry-installer - A plugin for Tox that lets you install test environment dependencies from the Poetry lockfile
google-java-format - Reformats Java source code to comply with Google Java Style.