The repositories
building what’s next.
Explore the overall Top 100 and separate rankings for AI tools, ML libraries, MCP and agents. GitHub evidence sets the foundation. Your vote helps shape the ranking.
How we rank · v2: Relevance 35% · adoption 20% · maintenance 20% · momentum 15% · community votes up to 10%. Adoption is compared within each category. Missing or stale evidence uses a neutral score; inactivity reduces the final score. Use this as a discovery guide, not a quality or security guarantee.
Agent publishes rankings weekly on Mondays at 9 AM Pacific. Last successful update: checking…. Counts retain their individual source timestamps.
Download current ranking CSV ↓Sign in with ChatGPT to vote ↗ · One vote per account per repository, shared across category views.
How the ranking works
Version 2: 35 points relevance, 20 adoption, 20 maintenance, 15 momentum and up to 10 community points. Category tabs rank up to 100 eligible projects independently; the overall list shows the highest 100 scores across categories. Search and time filters do not renumber ranks.
Adoption compares log-scaled stars (50%) and forks (25%) against eligible peers in the same category, plus contributor identities (25%, capped at 5,000). Relevance uses the displayed classification reason; it can contain judgment or automated classification errors.
Maintenance splits equally between recent push activity, recent stable releases, sampled active contributors and sampled maintainer response coverage. Pushes within 30/90/180/365 days score 100/75/50/25%; older pushes score zero. Stable releases within 90/180/365 days score 100/75/50%; older sampled releases score 25%. Active contributor credit grows logarithmically up to 20 accounts. Maintenance checks rotate through category leaders; evidence older than 42 days is neutral. No sampled release or eligible issues is neutral, not a failure.
Momentum uses actual observations 6–35 days apart, preferring a roughly monthly baseline. Net star and fork growth is scaled to 28 days with baseline smoothing, then capped. New projects wait for history; missing signals use 50% of their allocation. Scores can move as evidence becomes available.
One signed-in vote per account per repository across all views. Vote points grow logarithmically and cap at 100 votes / 10 points. Inactivity of 181–365 days reduces the total by 10%; longer inactivity, archival or a maintenance notice reduces it by 25%. Missing evidence and limited samples are not proof of quality. This selected search pool does not cover all GitHub projects.
FOLLOW THE EVIDENCERepository sourcesExplore the open-source projects and evidence behind GitRepo Radar.8 links
GitHub repository pages, releases, contributor activity and maintainer responses inform the rankings. Each project links to its own repository. Signed-in community votes are a separate site signal, not an external endorsement or a security assessment.
Source links open in a new tab.
GitHub discovery8
- GitHub · Repositories & releasesgithub.com
- Artificial intelligence projectsgithub.com/topics/artificial-intelligence
- Machine learning projectsgithub.com/topics/machine-learning
- Large language model projectsgithub.com/topics/llm
- AI agent projectsgithub.com/topics/ai-agents
- MCP projectsgithub.com/topics/mcp
- Deep learning projectsgithub.com/topics/deep-learning
- Model Context Protocol · Official repositoriesgithub.com/modelcontextprotocol