How can I reduce risk of supply chain attacks? Dependency Cooldown in python
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- Dominant language
- Python
- Stars
- 24
- Forks
- 15
- Avg merge
- 10d 3h
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Description
What would you like to see added?
Pixi and pip now both support "dependency cooldown" configuration. What is dependency cooldown? It's a feature that, when configured, allows software maintainers to exclude any releases made within a certain timeframe relative to now.
In the case of pip, you can exclude versions released in the past week by adding the following to ~/.config/pip/pip.conf
uploaded-prior-to = P7D # Past 7 Days
https://sethmlarson.dev/pip-relative-dependency-cooldowns
In Pixi, this feature comes from exclude-newer. https://pixi.prefix.dev/latest/reference/pixi_manifest/#exclude-newer-optional
And uv: https://docs.astral.sh/uv/reference/settings/#exclude-newer
Contributor guide
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reviewing the linked pip, Pixi, and uv documentation and the repository's existing dependency-management guidance. Determine where dependency cooldown belongs and document the relevant configuration examples and supply-chain rationale. Done means readers can understand the feature and configure it for the supported tools.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- documentation, security
- Issue type
- Documentation
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Quiet
- Clarity
- Mostly clear
- Newbie friendliness
- 52/100