Deepeval
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Overview
HEALTH SCORE
Fair
56out of 100
Security posture drags the score down. Maintainer coverage and development cadence help keep it from falling further.
LIFECYCLE
Active
Consistent commits, responsive maintainers, regular releases, and healthy issue triage.
Health breakdown
Fair(56/100)
Maintainer availability, known risks and supply chain posture, and whether the project is actively developed or appropriately stable.
Maintainer responsiveness
Median response time is 2 days.
Bus factor
22 active maintainers currently have merge rights.
Organization Diversity
Contributors span 1064 organizations.
Project Achievements
Leaderboards
About
Deepeval is an open-source evaluation framework for testing and benchmarking Large Language Models (LLMs) and LLM applications. It provides tools for creating test suites, evaluating model outputs, and measuring performance across various metrics.
First commit
Software value
$13M
Tags
evaluation-framework
evaluation-metrics
llm-evaluation
llm-evaluation-framework
llm-evaluation-metrics
python
License(s)
Apache-2.0
Data sources
Git
GitHub