Overview
Langfuse is the leading open-source LLM observability platform, offering complete data sovereignty through self-hosted deployment. Licensed under MIT, Langfuse provides all core tracing, evaluation, and monitoring capabilities with the option to run on your own infrastructure, making it ideal for teams who cannot send production data to third-party services.
The platform provides agent trace visualization showing complete multi-step workflows with timing and costs, prompt management with version control and A/B testing, and dataset management for evaluation. Team collaboration features enable multiple users to work together on prompts, review traces, and analyze agent behavior.
Langfuse has raised $4M in funding and is backed by Y Combinator (W23). The platform has strong community adoption with thousands of stars on GitHub and active development. Organizations in healthcare, finance, and other regulated industries choose Langfuse for data residency compliance while maintaining full observability capabilities.
Best For
Teams requiring data sovereignty, regulated industries, open-source enthusiasts
Key Features
- Complete self-hosting with Docker/Kubernetes
- Agent trace visualization with timing and costs
- Prompt management with version control
- A/B testing for prompt optimization
- Dataset management for evaluation
- Team collaboration features
- Open-source transparency (MIT license)
- API access for custom integrations
Pros & Cons
Pros
- Open-source with complete code access
- Self-hosting for data control
- Strong community and active development
- Affordable cloud option for small teams
- No vendor lock-in
Cons
- Self-hosting requires infrastructure management
- Cloud usage-based pricing can scale up
- UI less polished than commercial platforms
- Smaller team than enterprise competitors
Pricing
| Plan | Price | Features |
|---|---|---|
| Self-Hosted | Free | Full features, unlimited usage, complete control |
| Cloud Hobby | Free | 50K observations monthly |
| Cloud Pro | $29/mo | Usage-based, starts at 200K observations |
| Enterprise | Custom | Dedicated support, SLA, custom deployment |
