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Pip-audit Alternatives
Similar projects and alternatives to pip-audit
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InfluxDB
InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
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Google Fonts
Font files available from Google Fonts, and a public issue tracker for all things Google Fonts
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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Nuitka
Nuitka is a Python compiler written in Python. It's fully compatible with Python 2.6, 2.7, 3.4-3.13. You feed it your Python app, it does a lot of clever things, and spits out an executable or extension module.
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ipython
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
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ochrona-cli
A command line tool for detecting vulnerabilities in Python dependencies and doing safe package installs
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tox-poetry-installer
A plugin for Tox that lets you install test environment dependencies from the Poetry lockfile
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SaaSHub
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pip-audit discussion
pip-audit reviews and mentions
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Debian's approach to Rust – Dependency handling (2022)
This is incorrect on multiple levels:
* Comparing the two in this regard is a category error: Debian offers a curated index, and PyPI doesn't. Debian has a trusted set of packagers and package reviewers; PyPI is open to the public. They're fundamentally different models with different goals.
* PyPI does offer a security feed for packages[1], and there's an official tool[2] that will tell you when an installed version of a package is known to be vulnerable. But this doesn't give PyPI the ability to patch things for you; per above, that's something it fundamentally isn't meant to do.
[1]: https://docs.pypi.org/api/json/#known-vulnerabilities
[2]: https://pypi.org/project/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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A note from our sponsor - SaaSHub
www.saashub.com | 13 May 2025
Stats
pypa/pip-audit is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of pip-audit is Python.