giskard-oss vs llm-action
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| giskard-oss | llm-action | |
|---|---|---|
| Tagline | Eval and test library for AI agents | 分享大模型技术原理与实战经验，涵盖工程化和应用落地 |
| Stars | 5.5k | 25k |
| Forks | 481 | 2.8k |
| Open issues | 73 | 18 |
| Language | Python | HTML |
| License | Apache-2.0 | Apache-2.0 |
| Last pushed | Jul 7, 2026 | Jul 1, 2026 |
| Categories | Evaluation & Observability | Inference & Serving, Evaluation & Observability, Model Training, LLM Frameworks, Developer Tools |
giskard-oss
Giskard is an open-source Python library designed to evaluate and test agentic systems such as AI agents. It supports dynamic multi-turn testing with enhanced security and RAG evaluation features.
Python
llm-action
该项目针对各种大规模语言模型提供技术细节及实践指导，包括训练、推理优化以及其他相关领域的知识。内容涉及LLM的高效微调、分布式训练并行技术、推理框架以及性能测评等。
HTML