What is DeepEval?
No dated launch filed yetApache-2.0
Summary
DeepEval is an Apache-2.0 open-source Python framework for evaluating LLM applications and agents.
- Category
- Agent infra
- Open source
- Yes
- License
- Apache-2.0
- Pricing
- Not stated in the sources on this page.
DeepEval describes itself this way: "DeepEval is an open-source LLM evaluation framework for LLM applications." The GitHub repository gives the description "The LLM Evaluation Framework" and reports an Apache-2.0 license. PyPI lists deepeval 4.2.8, uploaded 2026-10-02, which requires Python <4.0,>=3.9.
According to its docs, DeepEval offers "50+ ready-to-use metrics" and can evaluate AI agents, chatbots, voice AI, RAG pipelines, and MCP systems. It supports three evaluation scopes: end-to-end, component-level, and trajectory-based. It can also generate synthetic datasets. The docs say "DeepEval is local-first: your evaluations run in your own environment." and that it integrates natively with Confident AI for shared dashboards, regression tracking, observability, and production monitoring. Pricing for Confident AI is not stated in the cited sources.
For related tools in the same category, see Agent infra, and the hubs for Opik, Phoenix, and Langfuse, or the launch note Opik 2.2.97. Sources: the DeepEval docs and the GitHub repository.
DeepEval alternatives
| Tool | License | Pricing note |
|---|---|---|
DeepEvalThis pageDeepEval is an Apache-2.0 open-source Python framework for evaluating LLM applications and agents. | Apache-2.0 | Not stated |
promptfoopromptfoo is an open-source CLI and library for evaluating and red-teaming LLM apps. | MIT | Not stated |
OpikOpen-source platform for tracing, evaluating and optimizing LLM applications and agents. | Apache-2.0 | Not stated |
PhoenixPhoenix is an Arize-maintained AI observability and evaluation tool with prompt and dataset tooling. | — | Not stated |
LangfuseOpen source platform for tracing, evaluating and improving AI agents and LLM applications. | MIT | Not stated |
Launches and updates
No dated launch has been filed for DeepEval yet. The description above is from the project’s own pages.
Guides covering DeepEval
Questions
What is DeepEval?
Its docs say "DeepEval is an open-source LLM evaluation framework for LLM applications."
Is DeepEval open source?
Yes. The GitHub API reports the license as Apache-2.0 (Apache License 2.0), and PyPI also lists Apache-2.0.
How is DeepEval used?
Its docs say you can "Unit test LLM outputs with Pytest-style assertions" and run end-to-end, trajectory-based, and component-level evals. The quickstart installs DeepEval, creates a test case, and runs it with deepeval test run.