head to head · open source
Langflow vs Langfuse
Langflow has 154,959 GitHub stars, 10,109 forks, 1,056 open issues and last shipped today. Langfuse has 34,746 stars, 3,791 forks, 926 open issues and last shipped yesterday. Langflow leads on adoption by 346% (154,959 vs 34,746 stars). Langflow is written in Python under MIT; Langfuse is written in TypeScript under a custom or non-standard licence. Langflow has attracted 7% as many forks as stars, Langfuse 11%. Langflow was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (large-language-models), 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.
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Side by side
| Langflow | Langfuse | |
|---|---|---|
| GitHub stars | ★ 155K | ★ 35K |
| License | MIT | Custom / other |
| Written in | Python | TypeScript |
| Last push | 2026-09-18 | 2026-09-17 |
| Forks | ⑂ 10K | ⑂ 3.8K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Langflow if
- You weight community size — 155K 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 Langflow
Langflow is a visual builder platform for designing, testing, and deploying AI agents and retrieval augmented generation (RAG) pipelines. It lives in the Python based generative AI ecosystem and targets developers building intelligent applications. The project provides a low code interface to assemble components—such as LLMs, vector stores, memory modules, and tools—into executable workflows, while also exposing those workflows as APIs or MCP servers for integration into external applications.
read the full Langflow overview →
About Langfuse
Langfuse is an open source LLM engineering platform for building, monitoring, and improving AI powered applications. It lives in the LLMops ecosystem and provides tooling for the full development lifecycle—from prompt iteration and evaluation to observability and dataset management. Built with TypeScript and powered by ClickHouse, it enables teams to track LLM calls, user sessions, and internal logic like retrieval or agent actions in a unified interface.
read the full Langfuse overview →
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Frequently asked questions
Is Langflow or Langfuse more popular?
Langflow has 154,959 GitHub stars and Langfuse has 34,746. Langflow has the larger community by that measure.
Are Langflow and Langfuse free?
Both are open source. Langflow is licensed under MIT, and Langfuse has no licence declared in this registry. Both are free to self-host.
What is the difference between Langflow and Langfuse?
Langflow 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, Langflow or Langfuse?
Choose Langflow if you want the larger community (154,959 stars) or its MIT licence terms. Choose Langfuse if its feature set, stack or Custom / other licence fits better. Both are self-hostable.