> ## Documentation Index > Fetch the complete documentation index at: https://docs.evidentlyai.com/llms.txt > Use this file to discover all available pages before exploring further. # What is Evidently? > Welcome to the Evidently documentation. Evidently is an open-source framework (Apache 2.0) with 40M+ downloads that helps teams evaluate, test, and monitor data and AI systems. You can use it as a standalone Python library or as part of a self-hosted platform. * **Evidently Python library** helps run data and AI evaluations with 100+ metrics, a declarative testing API, and a lightweight visual interface to explore the results. You can also use it to generate synthetic data and run prompt optimization workflows. * **Evidently platform** provides AI testing and observability infrastructure for production systems. It includes tracing, storage for AI application data and evaluation runs, test dataset management, and dashboards to visualize evaluation results. Our goal is to help teams build and maintain reliable, high-performing AI products: from predictive ML models to complex LLM-powered systems. ## Get started Run your first evaluation in a couple of minutes. Evaluate the quality of LLM system outputs. Test tabular data quality and data drift. ## Feature overview What you can do with Evidently. Key features of the AI observability platform. How the Python evaluation library works. ## Learn more Browse the catalogue of 100+ evaluations. End-to-end code tutorials and examples.