Comparison
OSS Insight vs star-history
OSS Insight and star-history are both listed under Analytics & listening in this directory. On the criteria this directory records they differ on stars, documentation, llms.txt. The table below compares them on identical criteria, drawn from what each product publishes.
By Fabian HugUpdated
Side by side
| Criterion | OSS Insight | star-history |
|---|---|---|
| Category | Tools | Tools |
| Type | Analytics & listening | Analytics & listening |
| Focus | analytics, open-source | analytics, open-source |
| Public source repo | Yes | Yes |
| Last commit | Jul 2026 | Jul 2026 |
| Stars | 2.4k | 9.3k |
| Documentation | Yes | Not stated |
| llms.txt | Yes | Not stated |
| Link verified | Jul 15, 2026 | Jul 15, 2026 |
| Listed since | Jul 12, 2026 | Jul 12, 2026 |
What each one is
Analytics over public GitHub events for open-source trends; now emphasizing AI agent frameworks, LLM tools, and MCP servers alongside general repo benchmarking.
OSS Insight is listed under Analytics & listening, tagged open-source.
Charts GitHub star growth over time; the graph in every devtool launch post and pitch deck.
star-history is listed under Analytics & listening, tagged open-source.
Questions
- What is the difference between OSS Insight and star-history?
- OSS Insight is listed under Analytics & listening, tagged open-source. star-history is listed under Analytics & listening, tagged open-source. On the criteria this directory records they differ on stars, documentation, llms.txt; everything else it tracks is the same for both.
- Which of OSS Insight and star-history works with AI agents?
- OSS Insight publishes a machine-readable surface: an MCP endpoint or an llms.txt file, verified by our weekly health checks. star-history does not publish one that we have verified.
How to read this
Every fact on this page is copied from the product's own site or repository and dated. We do not test these tools hands-on, we do not verify pricing, and the criteria are structural (what a product publishes) rather than qualitative (how well it works). Where a product does not state something, the table says so instead of guessing.
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