Langfuse from Langfuse captures generations, costs, and user feedback for debugging LLM apps. It is aimed at teams tracing prompts in production, with a free self-host and cloud hobby tier with paid team features. Requires instrumentation discipline across all app entry points. Editorial teams should verify fit against their compliance and workflow needs before rolling it out broadly.
Langfuse
Langfuse
Open-source LLM engineering analytics
FreemiumScore 73.0#79 overall#6 in AI Infrastructure
81 editorial upvotes · editor score 4.5 / 5
Specs
| Pricing | Freemium |
|---|---|
| Starting price | $59/mo |
| Free tier | Yes |
| Platforms | Web, API |
| Launched | Jan 1, 2023 |
| Last verified | Oct 18, 2026 |
| Vendor | Langfuse |
Highlights
- Prompt tracing
- Eval hooks
Pros
- Open source option
- Good DX
Cons
- Needs consistent logging
Alternatives
- Vercel AI SDKTypeScript toolkit for streaming LLM UIs78.9
- Databricks AILakehouse platform with Mosaic AI models77.1
- PineconeManaged vector database for semantic search76.0
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- CoreWeaveGPU cloud optimized for AI workloads73.1
- MLflowOpen platform for ML lifecycle management72.8
Reviews
Reviews open in the next release. Editor scores on this page are editorial estimates, not user ratings.