head to head · open source
Langfuse vs txtai
Langfuse has 34,826 GitHub stars, 3,815 forks, 926 open issues and last shipped yesterday. txtai has 12,964 stars, 891 forks, 9 open issues and last shipped 5 days ago. Langfuse leads on adoption by 169% (34,826 vs 12,964 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.
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Side by side
| Langfuse | txtai | |
|---|---|---|
| GitHub stars | ★ 35K | ★ 13K |
| License | Custom / other | Apache-2.0 |
| Written in | TypeScript | Python |
| Last push | 2026-09-19 | 2026-09-15 |
| Forks | ⑂ 3.8K | ⑂ 891 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Langfuse if
- You weight community size — 35K 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 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
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 →
About txtai
txtai is an all in one AI framework for semantic search, LLM orchestration and language model workflows, written in Python and released under the Apache 2.0 license. It lives in the Python machine learning ecosystem and is built on Hugging Face Transformers, Sentence Transformers and FastAPI. The core component is an embeddings database, which is a union of vector indexes (both sparse and dense), graph networks and relational databases. That foundation enables vector search and also serves as a knowledge source for large language model applications.
read the full txtai overview →
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Frequently asked questions
Is Langfuse or txtai more popular?
Langfuse has 34,826 GitHub stars and txtai has 12,964. 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 (34,826 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.