head to head · open source
Langfuse vs lancedb
Langfuse has 34,826 GitHub stars, 3,815 forks, 926 open issues and last shipped yesterday. lancedb has 11,473 stars, 1,060 forks, 627 open issues and last shipped yesterday. Langfuse leads on adoption by 204% (34,826 vs 11,473 stars). Langfuse is written in TypeScript under a custom or non-standard licence; lancedb is written in Rust under Apache-2.0. Langfuse has attracted 11% as many forks as stars, lancedb 9%. lancedb was the more recently maintained of the two, and both are self-hostable with no licence fee.
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
| Langfuse | lancedb | |
|---|---|---|
| GitHub stars | ★ 35K | ★ 11K |
| License | Custom / other | Apache-2.0 |
| Written in | TypeScript | Rust |
| Last push | 2026-09-19 | 2026-09-19 |
| Forks | ⑂ 3.8K | ⑂ 1.1K |
| 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 lancedb if
- You want the lancedb feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Rust
- You evaluated both and lancedb 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 lancedb
LanceDB is an open source, developer friendly embedded retrieval library for multimodal AI, maintained in Rust and released under the Apache 2.0 license. It describes itself as a multimodal AI lakehouse: a single place where developers can build, train and analyze AI workloads over vectors, metadata and multimodal data such as text, images, videos and point clouds. It is built on top of the Lance columnar format, which provides the storage layer for efficient storage and analytics.
read the full lancedb overview →
More in AI & Machine Learning
Related comparisons
More Machine Learning Infrastructure projects
Compare either of these against the rest of the Machine Learning Infrastructure field.
Frequently asked questions
Is Langfuse or lancedb more popular?
Langfuse has 34,826 GitHub stars and lancedb has 11,473. Langfuse has the larger community by that measure.
Are Langfuse and lancedb free?
Both are open source. Langfuse has no licence declared in this registry, and lancedb is licensed under Apache-2.0. Both are free to self-host.
What is the difference between Langfuse and lancedb?
Langfuse is written in TypeScript and lancedb in Rust. 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 lancedb?
Choose Langfuse if you want the larger community (34,826 stars) or its Custom / other licence terms. Choose lancedb if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.