Olud Pulse, a tool that tracks the adoption of open-source AI tools, has released its latest scores. The data, compiled from GitHub, Docker, PyPI, and npm, highlights Ray as the top-performing tool in ML frameworks and MLOps with a score of 75/100. In the low-code AI builder category, n8n leads with a score of 80/100. AI
IMPACT Provides insights into the adoption trends of key open-source AI tools in ML frameworks and low-code development.
RANK_REASON The cluster reports on adoption scores for open-source AI tools, which is a product-focused update.
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