head to head · open source

Langfuse vs txtai

Langfuse has 36,970 GitHub stars, 4,150 forks, 926 open issues and last shipped yesterday. txtai has 13,062 stars, 962 forks, 9 open issues and last shipped 2 days ago. Langfuse leads on adoption by 183% (36,970 vs 13,062 stars). Langfuse is written in TypeScript under a custom or non-standard licence; txtai is written in Python under Apache-2.0. Langfuse has attracted 11% as many forks as stars, txtai 7%. Langfuse was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (large-language-models, 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.

Langfuse ★ 37K txtai ★ 13K category AI & Machine Learning

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Side by side

Langfuse txtai
GitHub stars ★ 37K ★ 13K
License Custom / other Apache-2.0
Written in TypeScript Python
Last push 2026-11-04 2026-11-03
Forks ⑂ 4.2K ⑂ 962
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

full Langfuse profile →

pick txtai if

  • You want the txtai 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 txtai fits your workflow better

full txtai profile →

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 txtai

All in one AI framework txtai is an all in one AI framework for semantic search, LLM orchestration and language model workflows. The key component of txtai is an embeddings database, which is a union of vector indexes (sparse and dense), graph networks and relational databases. This foundation enables vector search and/or serves as a powerful knowledge source for large language model (LLM) applications. Build autonomous agents, retrieval augmented generation (RAG) processes, multi model workflows and more. Summary of txtai features: 🔎 Vector search with SQL, object storage, topic modeling, graph analysis and…

read the full txtai overview →

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Frequently asked questions

Is Langfuse or txtai more popular?

Langfuse has 36,970 GitHub stars and txtai has 13,062. Langfuse has the larger community by that measure.

Are Langfuse and txtai free?

Both are open source. Langfuse has no licence declared in this registry, and txtai is licensed under Apache-2.0. Both are free to self-host.

What is the difference between Langfuse and txtai?

Langfuse is written in TypeScript and txtai 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 txtai?

Choose Langfuse if you want the larger community (36,970 stars) or its Custom / other licence terms. Choose txtai if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.