---
title: "State of Open Source on Hugging Face: Spring 2026"
description: "The post examines how open source AI on Hugging Face changed over the past year across competition, geography, technical trends, and emerging communities. It combines Hugging Face and community-contributed metrics to assess users, models, datasets, downloads, repositories, and specialized sub-ecosystems. In 2025, the platform reached 13 million users, more than 2 million public models, and over 500,000 public datasets, while the top 200 models represented 49.6% of downloads and China surpassed the U.S. in monthly and overall downloads. The analysis also describes rising participation by independent developers, increased Chinese releases, and active communities in robotics and science, framing open source AI as overlapping ecosystems rather than a uniform market."
---

# State of Open Source on Hugging Face: Spring 2026

[Hugging Face](https://yomu.fyi/company/hugging-face) · Avijit Ghosh, Lucie-Aimée Kaffee, Yacine Jernite, Irene Solaiman · Mar 17, 2026

**Type:** Explainer

## Summary

The post examines how open source AI on Hugging Face changed over the past year across competition, geography, technical trends, and emerging communities. It combines Hugging Face and community-contributed metrics to assess users, models, datasets, downloads, repositories, and specialized sub-ecosystems. In 2025, the platform reached 13 million users, more than 2 million public models, and over 500,000 public datasets, while the top 200 models represented 49.6% of downloads and China surpassed the U.S. in monthly and overall downloads. The analysis also describes rising participation by independent developers, increased Chinese releases, and active communities in robotics and science, framing open source AI as overlapping ecosystems rather than a uniform market.

## Context

The work addresses rapid growth and changing power distribution in the open source AI ecosystem, including concentration of downloads, geographic shifts, increased institutional participation, and the emergence of specialized communities.

## Approach / What changed

It uses a combination of Hugging Face and community members' analyses across platform activity, including users, repositories, downloads, geographic origin, organizational participation, model trends, datasets, and community growth in areas such as robotics and science.

## Takeaways

- Hugging Face reached 13 million users, more than 2 million public models, and over 500,000 public datasets in 2025, with users increasingly creating derivatives such as fine-tuned models, adapters, benchmarks, and applications.
- Open source AI activity is highly concentrated: approximately half of Hugging Face models have fewer than 200 downloads, while the 200 most-downloaded models account for 49.6% of all downloads.
- China surpassed the U.S. in monthly and overall downloads, while independent or unaffiliated developers increased their share of downloads from 17% to 39% between the period before 2022 and 2025.

**Tags:** [Machine Learning](https://yomu.fyi/topic/machine-learning), [Open Source](https://yomu.fyi/topic/open-source)

- Source: [Hugging Face](https://huggingface.co/blog/huggingface/state-of-os-hf-spring-2026)
- Source URL: https://huggingface.co/blog/huggingface/state-of-os-hf-spring-2026
- Ingested by Yomu: 2026-08-29T01:46:38.453Z

[Read original post](https://huggingface.co/blog/huggingface/state-of-os-hf-spring-2026)