This leaderboard ranks the ten most influential open-source projects in the AI development ecosystem using OpenRank, a metric that measures community collaboration rather than simple popularity indicators like stars. The list spans the entire technology stack, from foundational infrastructure such as PyTorch for training and Ray for distributed compute, to high-performance inference engines like vLLM, SGLang, and TensorRT-LLM. At the application level, it features agent platforms and development tools including Dify, n8n, and Gemini, which are predominantly built with TypeScript, in contrast to the Python-based infrastructure. The significant influence of academic research is evident, as three key projects — vLLM, Ray, and SGLang (SGL) originated from UC Berkeley’s Sky Computing and RISE Labs, demonstrating a direct path from academic innovation to production-ready tools.
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