Open-source LLM Landscape and Trends Report

This project provides landscape reports and trend analyses of the open-source Large Language Model (LLM) ecosystem. Aimed at researchers, developers, and strategists, it offers data-driven insights into project vitality and community engagement to guide technological evolution and strategic development.

How It Works

The project leverages OpenRank, a metric for assessing community engagement and project vitality, to select and analyze LLM projects. Reports are generated based on this data, aiming to decode the LLM development ecosystem's evolution and identify innovation drivers. This approach provides a quantitative basis for understanding project health within the rapidly changing LLM space.

Quick Start & Requirements

No direct installation or execution instructions for consuming the reports are provided. An online interactive version is available at https://antoss-landscape.my.canva.site. Contributing to the analysis requires submitting PRs to the data_stories directory. The HyperCRX browser extension is mentioned for exploring OpenRank trends.

Highlighted Details

• Provides regular English and Chinese reports (v1.0, v2.0) on the LLM open-source landscape.
• Utilizes the OpenRank metric for project selection, requiring a minimum score of 50 for recent community engagement.
• Offers an online interactive version for exploring the landscape.

Maintenance & Community

Maintained by Ant Group's Open Source Team (AntOSS). Welcomes community contributions for insights, data stories, and identifying missing projects via pull requests and the issue tracker. Aims for continuous updates and collaborative growth within the open-source community.

Licensing & Compatibility

No license information is specified in the provided README content.

Limitations & Caveats

Project selection is strictly based on the OpenRank score (>= 50), potentially excluding valuable projects with lower engagement metrics. The methodology relies heavily on the accuracy and scope of the OpenRank metric for its analysis.