© 2026 AI-Buzz. Early access — data updated daily.
© 2026 AI-Buzz. Early access — data updated daily.
The GitHub of machine learning. Hosts models, datasets, and Spaces.
Founded by: Clément Delangue, Julien Chaumond, Thomas Wolf
Metrics computed from HN discussion, GitHub activity, and funding data.
According to AI-Buzz, Hugging Face ranks #6 in Foundation Models for HN discussion share (out of 33 tracked with 5.4% of HN discussion), with 41% positive developer sentiment (200 HN comments analyzed), with 59 commits/week (declining), with 1,229,931 npm downloads in 30 days, with 112,998,134 PyPI downloads in 30 days.
Source: https://ai-buzz.com/companies/hugging-face?utm_source=citation&utm_medium=referral&utm_campaign=cite_this_data
Metrics derived from public APIs (HN Algolia, GitHub, npm/PyPI). Sentiment classified by AI. See methodology for details →
Description
The GitHub of machine learning. Hosts models, datasets, and Spaces.
Estimated Company Size
101 - 250 employees
Website
huggingface.coFounded
2016
Description
Hugging Face is the central hub for ML. Their Transformers library has 140K+ GitHub stars. Hosts 500K+ models. Raised $235M at $4.5B valuation from Google, Nvidia, Salesforce.
Community engagement metrics that indicate developer traction and interest.
Last updated: 1 day ago
Mentions in HN discussions. Source: Hacker News Algolia API.
Sentiment analysis of Hacker News comments only. Does not include Reddit, Discord, or other platforms.
Total stars indicate project popularity and developer adoption.
Forks indicate active developer engagement and contribution interest.
Weekly commit activity indicates ongoing development momentum and team productivity.
Package download volume indicates real-world adoption and integration into production projects.
A central platform for sharing, discovering, and collaborating on machine learning models, datasets, and applications.
An open-source library providing state-of-the-art pre-trained models for natural language processing, computer vision, and audio tasks.
A platform for building, hosting, and sharing interactive machine learning demos and applications directly in a web browser.
A managed service for deploying and scaling machine learning models for production use with high performance and reliability.
A no-code solution for automatically training and fine-tuning machine learning models for various tasks.
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