Lordog/dive-into-llms
A repository in Git-Trust, the open-source corpus: 37 stars recorded in this snapshot. Source: https://github.com/Lordog/dive-into-llms.
Is Lordog/dive-into-llms safe to depend on?
Community trust supports it. Its maintainer, Lordog, has very high trust from the AI & Machine Learning community, and the signal holds across AI & Machine Learning, China OSS, and Web & Cloud. 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 Lordog'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 Lordog's repositories where there are any.
| Seen by | Trust in Lordog | Evidence |
|---|---|---|
| AI & Machine Learning | very high | solid evidence; 23 members starred Lordog's repositories |
| Web & Cloud | medium | solid evidence; 3 members starred Lordog's repositories |
| Terminal & CLI | no signal | no recorded signal |
| Rust | below low | thin evidence; 1 member starred Lordog's repositories |
| Security | below low | thin evidence; 1 member starred Lordog's repositories |
| Native Development | no signal | no recorded signal |
| Web3 | no signal | no recorded signal |
| China OSS | high | solid evidence; 4 members starred Lordog'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.