Langfuse
Open-source LLM observability and tracing
- • Fully open-source (MIT)
- • Deep trace visualization
- • Prompt management and versioning
- • Self-hosting option
langfuse vs portkey
Compare Langfuse open-source LLM tracing with Portkey enterprise AI gateway for observability and monitoring.
Last reviewed: 2026-03-03
Open-source LLM observability and tracing
Enterprise AI gateway + governance
| Capability | Langfuse | Portkey |
|---|---|---|
| Primary focus | Open-source LLM tracing | Enterprise AI gateway |
| Integration model | SDK-based instrumentation | Proxy / gateway |
| Open source | Yes (MIT) | No |
| Trace visualization | Deep trace trees | Request-level logs |
| Prompt management | Built-in versioning | Basic |
| Evaluation framework | Core capability | Limited |
| Starting price | Free (self-hosted) | Free dev, Pro $49/mo |
Langfuse focuses on tracing and evaluation, Portkey on gateway routing. AI Cost Board adds the missing cost governance layer — budget alerts, project-level spend attribution, and finance-ready reporting.
Neither is a dedicated cost tool. Langfuse estimates costs from tokens. Portkey provides usage analytics through its gateway. For dedicated cost governance, add AI Cost Board.
Yes, Langfuse is fully open-source and self-hostable. Portkey is primarily a managed service with enterprise options.
Langfuse has stronger evaluation and scoring capabilities. Portkey focuses on gateway routing and governance.