head to head · open source
Langfuse vs deep-searcher
Langfuse has 36,970 GitHub stars, 4,150 forks, 926 open issues and last shipped yesterday. deep-searcher has 8,378 stars, 816 forks, 55 open issues and last shipped 1 months ago. Langfuse leads on adoption by 341% (36,970 vs 8,378 stars). Langfuse is written in TypeScript under a custom or non-standard licence; deep-searcher is written in Python under Apache-2.0. Langfuse has attracted 11% as many forks as stars, deep-searcher 10%. Langfuse was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (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.
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Side by side
| Langfuse | deep-searcher | |
|---|---|---|
| GitHub stars | ★ 37K | ★ 8.4K |
| License | Custom / other | Apache-2.0 |
| Written in | TypeScript | Python |
| Last push | 2026-11-04 | 2026-09-22 |
| Forks | ⑂ 4.2K | ⑂ 816 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Langfuse if
- You weight community size — 37K stars and counting
- You want the Custom / other license terms
- Your stack matches TypeScript
- You value the larger contributor base for long-term maintenance
pick deep-searcher if
- You want the deep-searcher feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Python
- You evaluated both and deep-searcher fits your workflow better
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 →
About deep-searcher
DeepSearcher combines cutting edge LLMs (OpenAI o3, Qwen3, DeepSeek, Grok 4, Claude 4 Sonnet, Llama 4, QwQ, etc.) and Vector Databases (Milvus, Zilliz Cloud etc.) to perform search, evaluation, and reasoning based on private data, providing highly accurate answer and comprehensive report. This project is suitable for enterprise knowledge management, intelligent Q&A systems, and information retrieval scenarios. 🚀 Features Private Data Search : Maximizes the utilization of enterprise internal data while ensuring data security. When necessary, it can integrate online content for more accurate answers. Vector…
read the full deep-searcher overview →
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Frequently asked questions
Is Langfuse or deep-searcher more popular?
Langfuse has 36,970 GitHub stars and deep-searcher has 8,378. Langfuse has the larger community by that measure.
Are Langfuse and deep-searcher free?
Both are open source. Langfuse has no licence declared in this registry, and deep-searcher is licensed under Apache-2.0. Both are free to self-host.
What is the difference between Langfuse and deep-searcher?
Langfuse is written in TypeScript and deep-searcher in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, Langfuse or deep-searcher?
Choose Langfuse if you want the larger community (36,970 stars) or its Custom / other licence terms. Choose deep-searcher if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.