Ranked by Attention Score: stars gained over the last 90 complete days
12 repositories by Attention Score · Aug 6, 2026 – Nov 3, 2026 (UTC)
Scale computer-use 2.0 with open-source drivers, cross-OS sandboxes, and benchmarks for training, evaluation, and data generation.
🪢 Open source agent evals & observability: Trace, evaluate, and improve LLM applications with one open platform.
Test your prompts, agents, and RAGs. Red teaming/pentesting/vulnerability scanning for AI. Compare performance of GPT, Claude, Gemini, DeepSeek, and more. Simple declarative configs with command line and CI/CD integration. Used by OpenAI and Anthropic.
Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.
The LLM Evaluation Framework
The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.
A framework for few-shot evaluation of language models.
Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.
A powerful tool for creating datasets for LLM fine-tuning 、RAG and Eval
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
Python SDK for Agent AI Observability, Monitoring and Evaluation Framework. Includes features like agent, llm and tools tracing, debugging multi-agentic system, self-hosted dashboard and advanced analytics with timeline and execution graph view