head to head · open source
langgraph vs Langfuse
langgraph has 44,336 GitHub stars, 7,622 forks, 786 open issues and last shipped yesterday. Langfuse has 36,898 stars, 4,146 forks, 926 open issues and last shipped yesterday. langgraph leads on adoption by 20% (44,336 vs 36,898 stars). langgraph is written in Python under MIT; Langfuse is written in TypeScript under a custom or non-standard licence. langgraph has attracted 17% as many forks as stars, Langfuse 11%. langgraph was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (langchain, llm), so they are genuine substitutes rather than adjacent tools.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
← all 20902 open source comparisons
Side by side
| langgraph | Langfuse | |
|---|---|---|
| GitHub stars | ★ 44K | ★ 37K |
| License | MIT | Custom / other |
| Written in | Python | TypeScript |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 7.6K | ⑂ 4.1K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick langgraph if
- You weight community size — 44K stars and counting
- You want the MIT license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick Langfuse if
- You want the Langfuse feature set and don't need the biggest community
- You prefer the Custom / other license terms
- Your stack matches TypeScript
- You evaluated both and Langfuse fits your workflow better
About langgraph
Low level orchestration framework for building stateful agents. Trusted by companies shaping the future of agents – including Klarna, Replit, Elastic, and more – LangGraph is a low level orchestration framework for building, managing, and deploying long running, stateful agents. [!TIP] If you're looking to quickly build agents, check out Deep Agents — a higher level package built on LangGraph for agents that can plan, use subagents, and leverage file systems for complex tasks. For an equivalent JS/TS library, check out LangGraph.js and the JS docs. Why use LangGraph? LangGraph provides low level supporting…
read the full langgraph overview →
About Langfuse
Langfuse Cloud · Self Host · Demo Docs · Report Bug · Feature Request · Changelog · Roadmap · Langfuse is an open source LLM engineering platform. It helps teams collaboratively develop, monitor, evaluate, and debug AI applications. Langfuse can be self hosted in minutes and is battle tested . Proudly made with ClickHouse open source database. 🧑💻 We're hiring Langfuse is growing fast (we doubled the team in the last 6 months) since January 2026 we're part of ClickHouse, we're hiring engineering hybrid across the EU. We hire engineers who love open source and great developer experiences. See open roles → ✨…
read the full Langfuse overview →
More in AI & Machine Learning
Related comparisons
More AI Development Platforms projects
Compare either of these against the rest of the AI Development Platforms field.
Frequently asked questions
Is langgraph or Langfuse more popular?
langgraph has 44,336 GitHub stars and Langfuse has 36,898. langgraph has the larger community by that measure.
Are langgraph and Langfuse free?
Both are open source. langgraph is licensed under MIT, and Langfuse has no licence declared in this registry. Both are free to self-host.
What is the difference between langgraph and Langfuse?
langgraph is written in Python and Langfuse in TypeScript. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, langgraph or Langfuse?
Choose langgraph if you want the larger community (44,336 stars) or its MIT licence terms. Choose Langfuse if its feature set, stack or Custom / other licence fits better. Both are self-hostable.