scipy/scipy
A repository in Git-Trust, the open-source corpus: 27 stars recorded in this snapshot. Source: https://github.com/scipy/scipy.
Is scipy/scipy safe to depend on?
Community trust supports it. Its maintainer, scipy, has very high trust from the Native Development community, and the signal holds across Native Development, AI & Machine Learning, Web & Cloud, Rust, and Terminal & CLI. 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 scipy'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 scipy's repositories where there are any.
| Seen by | Trust in scipy | Evidence |
|---|---|---|
| AI & Machine Learning | high | solid evidence; 5 members starred scipy's repositories |
| Web & Cloud | high | solid evidence; 8 members starred scipy's repositories |
| Terminal & CLI | medium | solid evidence; 2 members starred scipy's repositories |
| Rust | high | solid evidence; 3 members starred scipy's repositories |
| Security | below low | thin evidence; 1 member starred scipy's repositories |
| Native Development | very high | solid evidence; 5 members starred scipy's repositories |
| Web3 | no signal | no recorded signal |
| China OSS | no signal | no recorded signal |
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.