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DeepEval - AI Evaluation Tools Tool

Overview

DeepEval is an open-source evaluation toolkit for AI models that focuses on advanced metrics for both text and multimodal outputs. It implements multimodal G-Eval and supports conversational evaluation workflows that accept a list of Turns, enabling objective, reproducible scoring of chat-style and multimodal model outputs. The project emphasizes integration with model hosting and evaluation platforms and ships comprehensive documentation and examples to help researchers and engineers adopt standardized evaluation pipelines. According to the GitHub repository, DeepEval is actively maintained under an Apache-2.0 license and has a sizable community presence (12,953 stars, 1,154 forks, and 228 contributors). The repository publishes release artifacts on its releases page and received commits as recently as 2026-01-09, indicating ongoing development and updates. Typical use cases include benchmarking LLMs and multimodal models, running conversational evaluation suites, and embedding G-Eval style metrics into CI or research workflows.

GitHub Statistics

  • Stars: 12,953
  • Forks: 1,154
  • Contributors: 228
  • License: Apache-2.0
  • Primary Language: Python
  • Last Updated: 2026-01-09T17:39:59Z
  • Latest Release: v3.7.5

The repository shows strong community activity: 12,953 stars, 1,154 forks, and 228 contributors (according to the GitHub repository). It is licensed under Apache-2.0 and has recent commits (last recorded 2026-01-09), indicating active maintenance. A healthy number of contributors suggests broad involvement; frequent releases and an active issues/PR queue indicate steady improvements and responsiveness from maintainers.

Installation

Install via pip:

git clone https://github.com/confident-ai/deepeval.git
cd deepeval
pip install -r requirements.txt
pip install -e .

Key Features

  • Advanced metrics for both text and multimodal model outputs
  • Multimodal G-Eval implementation for cross-modal scoring
  • Conversational evaluation using a structured list of Turns
  • Integrations and platform support for hosted model evaluation
  • Comprehensive documentation and examples for reproducible evaluations

Community

DeepEval has an active open-source community on GitHub with 12,953 stars and 228 contributors. The project uses an Apache-2.0 license, maintains an issues and PR workflow, and publishes releases on the repository's releases page. Community engagement appears robust, with ongoing commits and community contributions to features and fixes.

Last Refreshed: 2026-01-09

Key Information

  • Category: Evaluation Tools
  • Type: AI Evaluation Tools Tool
Visit Official Website

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