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DeepEval

🇨🇳 中文 / 🇬🇧 English — 双语介绍
🇨🇳 中文

DeepEval 是把软件测试那套写法搬到 LLM 上的开源评测框架:用 pytest 的风格给模型输出写断言,覆盖答案相关性、忠实度、幻觉、检索质量这些维度,跑起来像跑单测一样出通过率报告。评估指标由模型自己打分,可以接自己的模型,也能在本地跑,适合要把提示词和 RAG 改动作回归验证的团队。 🔗 文档: https://docs.confident-ai.com | GitHub Stars: 19k+

🇬🇧 English

DeepEval is an open-source evaluation framework that borrows the shape of software testing: write pytest-style assertions against model output covering answer relevancy, faithfulness, hallucination and retrieval quality, then run it like a unit test suite and get a pass rate. Metrics are model-graded and can point at your own model or run locally, which suits teams regression-testing prompt and RAG changes. 🔗 Docs: https://docs.confident-ai.com | GitHub Stars: 19k+

📋 Product Info

Category: Developer Tools
Listed on: 2026-10-23
Official site: https://deepeval.com
Open source: GitHub repository ↗
Tags: LLM评测,单元测试,开源,RAG评估

🎯 Why This Tool

DeepEval belongs to the Developer Tools category on hedirbase. Tagged with: LLM评测,单元测试,开源,RAG评估.

DeepEval is an open-source evaluation framework that borrows the shape of software testing: write pytest-style assertions against model output covering answer relevancy, faithfulness, hallucination an

✓ Manually reviewed 📁 Open source 🌐 Curated for independents
🌎 访问 DeepEval → 📦 GitHub