OpenJudge
OpenJudge is an open-source framework for evaluating and optimizing AI applications.
- Type
- Agent Skill
- Open source
- Yes
- GitHub Stars
- ★ 1.0k
- Source
- skill-github
- Repository
- github.com/agentscope-ai/OpenJudge
Overview
OpenJudge is an open-source evaluation framework designed specifically for AI applications such as AI agents or chatbots, aiming to assess quality and drive continuous application optimization. It provides ready-to-use evaluators and supports generating customized evaluation criteria for specific scenarios, making the evaluation process simpler, more professional, and easier to integrate. Additionally, it can convert evaluation results into reward signals to help fine-tune and optimize your application. Ideal for developers who need systematic evaluation and optimization of AI applications.
Capabilities
- ▪Provides over 50 production-ready evaluators
- ▪Supports multi-scenario coverage
- ▪Comprehensive agent lifecycle evaluation
- ▪Evaluators come with benchmark datasets and validation
Use cases
Setup
pip install py-openjudge
This information was compiled by AI from public sources and may contain inaccuracies — please refer to the source.
FAQ
How do I get started with OpenJudge?
Try it online at openjudge.me/app, or install via pip and run locally.
What types of evaluation does OpenJudge support?
Supports general, agent, multimodal, and other types of evaluation.
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