deepeval logo

deepeval

confident-ai/deepeval

LLM Evaluation Framework.

GraphCanon updated 4w · GitHub synced 4w

17k stars1.7k forksLast push 4w Python Apache-2.0

Decision brief

Deepeval is a Python-based framework designed for evaluating large language models with an array of metrics and evaluation methodologies.

Good fit when

  • When developing large language models and you need a comprehensive evaluation framework to measure their performance across various metrics.
  • If your project requires detailed, nuanced analysis provided by Deepeval's specific evaluation methodologies tailored to large language models.

Avoid when

  • For small-scale applications that do not require the depth of metrics and evaluations offered by Deepeval, as it might be overkill.
  • In situations where there is a need for real-time performance monitoring, since Deepeval focuses more on post-development evaluation rather than continuous runtime analysis.
Requirements:
Requires Python environment and familiarity with large language models to effectively utilize Deepeval's capabilities.

Observed Jul 17, 2026 · Source: enrich:decision_facts

Verify the decision

Maintenance and security

Full trust report
Maintenance
Very active (1d since push)
As of 4w
Provenance
Not a fork · Organization account
As of 4w
Security (OSV)
No lockfile
As of 1mo

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install deepeval
PyPI

Similar tools

Same-category neighbours. No typed graph edges are catalogued for this tool yet.

Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

A Python-based framework for evaluating large language models with various metrics and evaluation methodologies.

Capability facts

CLI
CLI entrypoint

Source: pyproject.toml:[project.scripts] · Jul 28, 2026

Languages
python

Source: github.language+pyproject.toml · Jul 28, 2026

Categories

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Jul 28, 2026)

Deepeval works with **Python>=3.9+**.
Source link

Tags

README

Installation

Deepeval works with Python>=3.9+.

pip install -U deepeval

License

DeepEval is licensed under Apache 2.0 - see the LICENSE.md file for details.

For agents

This page has a .md twin and JSON over the API.

Was this helpful?

Anonymous feedback helps us improve pages and translations.