无法衡量就无法信任。OpenJudge 提供 50+ 生产级评估器，让每一次更新都经过评估，确保你的 AI 应用安全、可靠、可用。 You can't trust what you can't measure. OpenJudge provides 50+ production-grade graders to evaluate every update, ensuring your AI applications are safe, reliable, and available.
OpenJudge 为 AI 评估提供完整的工作流支持：从收集测试数据 → 定义评估器 → 规模化评估 → 分析弱点 → 快速迭代，让 AI 质量保证更简单、更专业。 OpenJudge provides complete workflow support for AI evaluation: from collecting test data → defining graders → scaling evaluation → analyzing weaknesses → rapid iteration.
提供覆盖 Agent 生命周期、LLM 通用评估、多模态（图像/视频）、代码生成与数学推理等多场景的评估器。每个 Grader 都经过基准数据集验证，确保评估结果的准确性和可靠性。 Comprehensive graders covering Agent lifecycle, LLM evaluation, multimodal (image/video), code generation, and math reasoning. Each grader is validated against benchmark datasets.
支持多种评估器构建方法：自定义评估规则、零样本 (Zero-shot) Rubric 自动生成、基于数据驱动的评估器生成、以及训练专属 Judge 模型。选择最适合你业务需求的构建方法。 Multiple grader building methods: custom evaluation rules, zero-shot rubric auto-generation, data-driven grader generation, and training custom Judge models.
与 LangSmith、Langfuse 等 AI 可观测性平台无缝对接，实现全链路监控；同时支持与 VERL 等强化学习训练框架集成，将评估结果转化为奖励信号 (Reward Signal)，用于模型优化。 Seamlessly integrates with LangSmith, Langfuse for full-stack monitoring. Also supports VERL and other RL training frameworks, converting evaluation results into reward signals.
支持计算机科学、医学、物理、化学、生物等 10 大学科，上传 PDF 即可获得专业级审稿意见，涵盖质量、创新性、正确性、格式等多个维度的深度分析。 Supports 10 disciplines including Computer Science, Medicine, Physics, Chemistry, Biology, and more. Upload a PDF to get professional review covering quality, originality, correctness, and formatting.
openjudge.me/paper_review openjudge.me/paper_review
关于 OpenJudge 的常见问题解答 Frequently asked questions about OpenJudge
OpenJudge 是一个开源的 AI 评估与质量奖励框架。它解决了 AI 应用开发中"无法衡量就无法信任"的核心问题。通过提供 50+ 生产级评估器，OpenJudge 帮助团队系统性地评估 LLM、Agent、多模态模型等 AI 系统的输出质量，确保 AI 应用的安全性、可靠性和可用性。
OpenJudge is an open-source AI evaluation and quality reward framework. It addresses the core challenge in AI development: "you can't trust what you can't measure." With 50+ production-grade graders, OpenJudge helps teams systematically evaluate LLMs, Agents, and multimodal models to ensure safety, reliability, and usability.
OpenJudge 支持广泛的 AI 评估场景，包括：Agent 评估、LLM 通用评估、多模态评估、代码评估、数学推理评估。每个评估器都经过基准数据集验证，确保评估结果可靠。
OpenJudge supports a wide range of AI evaluation scenarios, including: Agent Evaluation, LLM General Evaluation, Multimodal Evaluation, Code Evaluation, and Math Reasoning Evaluation. Each grader is validated against benchmark datasets.
OpenJudge 可以与 LangSmith、Langfuse 等主流 AI 可观测性平台无缝对接。同时支持与 VERL 等强化学习训练框架集成，将评估结果转化为奖励信号。通过 Python SDK 或 REST API，可轻松集成到 CI/CD 流程中。
OpenJudge seamlessly integrates with major AI observability platforms like LangSmith and Langfuse. It also works with RL training frameworks like VERL, converting evaluations into reward signals. Integrate via Python SDK or REST API into your CI/CD pipeline.
是的，OpenJudge 是完全开源免费的项目，采用 Apache 2.0 许可证。你可以直接在线试用，或通过 pip install py-openjudge 安装。
Yes, OpenJudge is completely open-source and free under the Apache 2.0 license. You can try it online instantly, or install locally via pip install py-openjudge.
OpenJudge 已被阿里巴巴集团多个核心业务采用，包括阿里云百炼、阿里云海外业务、高德地图、蚂蚁集团等。
OpenJudge is adopted by multiple core businesses within Alibaba Group, including Alibaba Cloud Bailian, Alibaba Cloud International, Amap, and Ant Group.
扫码加入 OpenJudge 钉钉群，获取最新版本更新动态、技术支持答疑与社区讨论。与来自阿里巴巴、蚂蚁集团等企业的开发者一起交流 AI 评估最佳实践。 Get the latest updates, technical support, and community discussions. Connect with developers to exchange AI evaluation best practices.
扫码加入钉钉群，与社区交流
