opik vs lmnr
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| opik | lmnr | |
|---|---|---|
| Tagline | Comprehensive tracing, automated evaluations, and production-ready dashboards for LLM applications. | Open-source observability platform for AI agents |
| Stars | 20k | 3.1k |
| Forks | 1.6k | 216 |
| Open issues | 147 | 91 |
| Language | Python | TypeScript |
| License | Apache-2.0 | Apache-2.0 |
| Last pushed | Jul 7, 2026 | Jul 7, 2026 |
| Categories | Evaluation & Observability | AI Agents, Evaluation & Observability |
opik
Opik provides tools to debug, evaluate, monitor, trace, and optimize large language model (LLM) applications, retrieval-and-generation (RAG) systems, and agentic workflows. It supports the transition from prototype to production with full observability features.
Python
lmnr
Laminar provides observability tools for AI agent monitoring, evaluation, and debugging. It includes tracing, signals monitoring, evaluations SDK/UI, an MCP/CLI interface, dashboard builder, and data annotation UI.
TypeScript