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Open Source LLM Landscape and Trends

Report 1.0 🌐️ English Report | 中文报告

Report 2.0 🌐️ English Report | 中文报告

LLM Development Landscape

Online Interactive Version: https://antoss-landscape.my.canva.site

Large Models Landscape

How Do We Select Projects?

We utilize OpenRank to assess community engagement and project vitality. Our current selection criteria requires projects to achieve an OpenRank score of at least 50 for the most recent month.

To explore OpenRank trends for any GitHub repository, install the HyperCRX browser extension.

Why Does Ant Open Source Create This?

As Ant Group's Open Source Team, our mission is to decode the evolution of the large language model development ecosystem through comprehensive community data analysis. We seek to identify emerging trends and understand which leading projects are driving innovation in this rapidly evolving space.

Our panoramic analysis and trend research aims to harness insights from the open-source community to inform and guide the strategic evolution of Ant's technological architecture and development practices.

We are dedicated to maintaining this initiative continuously, releasing fresh insights regularly, and fostering collaborative growth with the broader community through open participation.

Contributing

We welcome contributions of high-quality insights, compelling data stories, and innovative use cases. Please submit your contributions via pull requests to the data_stories directory.

If you notice any projects missing from our landscape analysis, we encourage you to share your feedback through our dedicated issue tracker.

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Open Source Landscapes and Insights Produced by AntOSS

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