DeepEval: LLM evaluation framework, README overview
The README presents DeepEval as an evaluation framework for LLM applications, run as test cases.
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- commit 696248fd7f8b4db1aa0d4f05cee22c3d2cc5857b · source_revision · · availability: unknown
- DeepEval: LLM evaluation framework, README overview · repository · · availability: available (checked 2026-11-07)
Source: https://github.com/confident-ai/deepeval
What it supplies: The README presents DeepEval as an evaluation framework for LLM applications, run as test cases.
Useful for: - Write test cases that evaluate an LLM app end to end.
- Share testing reports through the optional cloud platform.
First action: - Run pip install -U deepeval on Python 3.9 or later.
- Optionally run deepeval login to use the cloud platform.
- Create a test file and write a first test case.
Prerequisites and limits: The README states Python 3.9 or later.
- The platform account is optional but encouraged by the README.
- Metric details are in sections not summarised here.
Source-documented: Apache 2.0. The cloud platform is a separate service with its own terms, and some metrics may call an LLM provider you configure.
Written from the README text only. Statements are as the README gives them; nothing was installed or run.
Based on title, install, first-test and licence README text only; other sections were not read in full. Nothing was installed or run.
Source inspected: https://raw.githubusercontent.com/confident-ai/deepeval/696248fd7f8b4db1aa0d4f05cee22c3d2cc5857b/README.md ; 30739 bytes ; sha256 15fcceb3e0a857bd406870a5546bfa684659cc18ea095d3dfcf152c4c6b7b87a ; 6 exact pinned excerpts in the draft pin map
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}Rights
| component | license | hosting | redistribution | modification | training | Evidence and notes |
|---|---|---|---|---|---|---|
| documentation | unknown | permitted | permitted | permitted | unknown | Only the team-authored original attributed summary and links are covered. Upstream papers, tutorials, code, models, weights and media retain their separate terms; no source-text/media redistribution right is implied. |