evidentlyai/evidently

AI Observability & Evaluation

Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.

Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.

🪢 Open source agent evals & observability: Trace, evaluate, and improve LLM applications with one open platform.

Open-source observability for your GenAI or LLM application, based on OpenTelemetry

The LLM Evaluation Framework

The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.

Python SDK for Agent AI Observability, Monitoring and Evaluation Framework. Includes features like agent, llm and tools tracing, debugging multi-agentic system, self-hosted dashboard and advanced analytics with timeline and execution graph view

Supercharge Your LLM Application Evaluations 🚀