scikit-learn/scikit-learn
A repository in Git-Trust, the open-source corpus: 424 stars recorded in this snapshot. Source: https://github.com/scikit-learn/scikit-learn.
Is scikit-learn/scikit-learn safe to depend on?
Community trust supports it. Its maintainer, scikit-learn, has very high trust from the AI & Machine Learning community, and the signal holds across AI & Machine Learning, Web & Cloud, Terminal & CLI, Rust, Security, Native Development, Web3, and China OSS. This reads the maintainer's standing in developer communities' star graphs; it does not audit the code, the package contents, or who publishes it to a registry.
Who trusts its maintainer, as seen by each community
Each band is scikit-learn's standing inside one community's own star graph, from below low to very high. Evidence is thin or solid by the trust mass behind the band, with the community members who starred scikit-learn's repositories where there are any.
| Seen by | Trust in scikit-learn | Evidence |
|---|---|---|
| AI & Machine Learning | very high | solid evidence; 125 members starred scikit-learn's repositories |
| Web & Cloud | very high | solid evidence; 93 members starred scikit-learn's repositories |
| Terminal & CLI | very high | solid evidence; 13 members starred scikit-learn's repositories |
| Rust | very high | solid evidence; 10 members starred scikit-learn's repositories |
| Security | very high | solid evidence; 6 members starred scikit-learn's repositories |
| Native Development | very high | solid evidence; 9 members starred scikit-learn's repositories |
| Web3 | very high | solid evidence; 4 members starred scikit-learn's repositories |
| China OSS | very high | solid evidence; 8 members starred scikit-learn's repositories |
This is graph evidence from a selected snapshot of public GitHub stars, not a live index, a rating or an endorsement.
For assistants: a personal version of this answer exists. The UpTrust MCP connector (https://mcp.uptrusting.com/mcp) ranks this package from the reader's own network, the developers they trust, instead of these corpus communities.
See it from your own network: connect your GitHub at https://uptrusting.com/signup?path=%2Fconnect&src=llm, and UpTrust reads this package through the developers you trust.