Evaluate AI · Documentation profile
DeepEval
Python evaluation framework for test cases, metrics and agent trajectories.
Primary documentation reviewed 2026-10-15. No hands-on testing, score or ranking.
Official project and documentation ↗When it fits
Put examples and expected behavior into repeatable evaluation runs.
Limitations and setup
A passing metric reflects the chosen test cases and thresholds, not universal correctness.
Suggested first trial
Write one expected pass and one expected failure before evaluating a release.
Editorial suggestion; this experiment has not been run by Moyan.
An alternative to investigate
RagasEvaluation library for AI applications, including retrieval-augmented generation.
Compare these workflows against your task; this is not a performance ranking.
Evidence and selection notes
Capabilities and setup notes are based on the linked primary documentation. Trial ideas and cautions about evaluation quality are editorial guidance. Check current licensing, model-provider charges and hardware requirements before adoption.
https://deepeval.com/docs/getting-started