product
Data quality: Editorially ReviewedLanguage (LLM / NLP)
CLI / IDE plugin
Free
MLOps & Infrastructure
Software & technology
Workflow orchestration
Self-hosted / on-premises
Developer tool
DeepEval
MLOps & Infrastructure
Overview
DeepEval is an open-source evaluation framework for LLM applications that provides unit testing, integration testing, and production monitoring for AI features. It offers metrics for hallucination detection, answer relevance, faithfulness, and contextual precision. DeepEval integrates with pytest and CI/CD pipelines for continuous LLM quality assurance.
- Pricing model
- Free
- Deployment
- CLI / IDE plugin, Self-hosted / on-premises
- Regions served
- Global
- Categories
- Language (LLM / NLP), CLI / IDE plugin, Free, MLOps & Infrastructure, Software & technology, Workflow orchestration, Self-hosted / on-premises, Developer tool
- Last updated
- 2 October 2026
- Published
- 2 October 2026
Use cases
Workflow orchestration
Deployment options
CLI / IDE plugin
Self-hosted / on-premises
Data sources & provenance
Where this information came from, how it was checked and when it was last looked at. “Last updated” records a change to the record — it does not mean the record was verified.
- Data quality
- Data quality: Editorially Reviewed
- Primary source
- docs.confident-ai.com
- Sources cited
- 2
- Last reviewed
- 28 September 2026
- Last updated
- 2 October 2026
Spotted something out of date?
Anyone can suggest a correction — you don't need an account. An editor checks every suggestion against the sources before the record changes.