opik vs evidently
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| opik | evidently | |
|---|---|---|
| Tagline | Comprehensive tracing, automated evaluations, and production-ready dashboards for LLM applications. | Evidently is an open-source ML and LLM observability framework. |
| Stars | 20k | 7.7k |
| Forks | 1.6k | 874 |
| Open issues | 147 | 285 |
| Language | Python | Jupyter Notebook |
| License | Apache-2.0 | Apache-2.0 |
| Last pushed | Jul 7, 2026 | May 2, 2026 |
| Categories | Evaluation & Observability | 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
evidently
Evidently is a Python library for evaluating, testing, and monitoring machine learning (ML) and large language model (LLM) systems from experiments to production. It supports a wide range of evaluation metrics and can be used both offline and in live environments.
Jupyter Notebook