The analytics engine for the AI-native open source ecosystem.
Analyze 10+ billion GitHub events. Track AI agents, coding tools, and the repos shaping the future.

OSSInsight analyzes 10+ billion rows of GitHub event data to surface insights about the open source ecosystem — from individual developers to entire technical fields.

In 2026, that means tracking the explosion of AI agents, coding assistants, research automation, and the infrastructure being built around them. OSSInsight is how you see what's actually happening in open source, measured in commits, stars, forks, and contributors — not hype.

• AI Agent Frameworks — Rankings and trends across LangChain, CrewAI, AutoGen, and 50+ agent frameworks
• Coding Agents — Track Claude Code, Copilot, Cursor, Aider, and the autonomous coding wave
• Research Agents — Analyze repos like autoresearch (54K stars in 19 days) that are turning research into search
• MCP & Tool Infrastructure — The standardizing integration layer for AI agents

• Developer Analytics — Contribution patterns, code review cadence, collaboration networks
• Repository Analytics — Stars, forks, contributor growth, geographic distribution, company breakdown
• Compare Projects — Side-by-side comparison on any metric
• Trending — What's gaining velocity right now

• Data Explorer — Ask questions about GitHub data in natural language, get SQL + visualizations
• 60+ Curated Collections — From databases to Web3, from DevOps to AI safety
• Blog — Data-driven analysis of open source trends

OSSInsight is built for the AI era:

• /llms.txt — Structured site description for LLMs
• /llms-full.txt — Full documentation in LLM-friendly format
• OpenSearch — Machine-readable search integration
• Schema.org structured data on every page — TechArticle, CollectionPage, BreadcrumbList, FAQPage, and more

Ask questions about GitHub data in natural language — Data Explorer generates SQL, queries the data, and presents results visually.

Examples:

• Projects similar to @facebook/react
• Where are @kubernetes/kubernetes contributors from?
• More popular questions

Find insights about monthly or historical rankings and trends in technical fields with curated repository lists.

Examples:

• Collection: AI Agent Frameworks
• Collection: Open Source Database
• Collection: Web Framework
• More ...

Insights about developer productivity, work cadence, and collaboration from contribution behavior.

• Contribution time distribution, stars, languages, and trends
• Code (commits, pull requests, code line changes), code reviews, and issues

Insights about code update frequency & popularity from repository status.

• Stars, forks, issues, commits, pull requests, contributors, languages, and lines of code
• Geographical and company distribution of stargazers, issue creators, and PR creators

Examples:

• React
• TiDB
• PyTorch

Compare two projects side-by-side on any metric.

Examples:

• Compare Vue and React
• Compare PyTorch and TensorFlow

Curated lists of repos in technical fields, ranked by GitHub metrics. Perfect for tracking ecosystems.

Add a collection by submitting a PR to etl/meta/collections/:

id: <collection_id>
name: <collection_name>
items:
  - owner/repo-1
  - owner/repo-2

Popular collections: AI Agent Frameworks • Open Source Database • Web Framework • JavaScript ORM • More...

pnpm install
pnpm dev        # Start web app (port 3001)
pnpm dev:docs   # Start docs site (port 3002)
pnpm dev:all    # Start both

• GitHub Discussions — Questions, ideas, best practices
• GitHub Issues — Bugs, features, collection suggestions
• GitHub PRs — Code, fixes, blog posts, new collections

• @OSSInsight on Twitter
• GitHub Discussions
• ossinsight@pingcap.com

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