Strongest current signal
Package downloads
205.2M/30d
Across npm and PyPI
Open-source ML platform hosting models, datasets, and Spaces
Best current coverage: 205.2M downloads/30d, 9.9K dependents, and 33.0K public repos.
Lead signals
Package pull and public code usage both show up clearly for Hugging Face.
Strongest current signal
205.2M/30d
Across npm and PyPI
9.9K
Known dependents across npm and PyPI
159.3K
Main repository stars
264/30d
Ranked #2 in category discussion
Research Brief
No recent Research Brief centers Hugging Face yet. Start with the latest market reporting, then return here for the stored company signals on this page.
Browse Research Briefs →Reading
package pull and existing public code are the clearest current signals for Hugging Face.
Package pull
205.2M/30d
Tracked package pull across npm and PyPI
Existing public code
33.0K
Public repositories importing tracked packages
Downstream usage
9.9K
Known dependent packages across both registries
New hiring
4/30d
Mentions in recent HN Who's Hiring threads
Coverage includes npm and PyPI registries, GitHub, public code import detection, tracked hiring posts, developer discussion, distribution surfaces, and recent company news where available. As of April 14, 2026. Methodology
Sustainability and maintenance signals from the primary public repository.
These signals come from public code import detection and tracked hiring posts rather than registry totals alone.
Public repositories and source files importing packages tied to Hugging Face.
Mentions of Hugging Facein recent Hacker News "Who's Hiring" threads.
Background and reference details
background, categories, funding, and tools stay collapsed until you need them.
Hugging Face is the leading open-source platform for machine learning, hosting over 1 million models, datasets, and demo applications (Spaces). Its Transformers library is the most widely used Python package for working with LLMs.
Raised $394M total - DAI rank #2 (top 1%) suggests strong developer adoption relative to funding.
Sequoia Capital, Lightspeed Venture Partners
Sequoia Capital, Lux Capital
Addition
Lux Capital
Betaworks
0 npm · 3.3M PyPI(50% of company total)
A no-code solution for automatically training and fine-tuning machine learning models for various tasks.
0 npm · 3.3M PyPI(50% of company total)
Open-source ML platform hosting models, datasets, and Spaces
A central platform for sharing, discovering, and collaborating on machine learning models, datasets, and applications.
A managed service for deploying and scaling machine learning models for production use with high performance and reliability.
A platform for building, hosting, and sharing interactive machine learning demos and applications directly in a web browser.
An open-source library providing state-of-the-art pre-trained models for natural language processing, computer vision, and audio tasks.
Public pricing snapshots collected for Hugging Face
Source: Company pricing pageUpdates: WeeklyNote: Extracted via automated page analysis; verify on sourceMethodology →Historical metrics for Hugging Face
Hugging Face: npm Downloads down 32% (278.6K to 189.8K). GitHub Stars up 1% (157.9K to 159.3K).
| Date | npm Downloads | PyPI Downloads | GitHub Stars |
|---|---|---|---|
| Mar 16, 2026 | 278.6K | - | 157.9K |
| Mar 20, 2026 | - | - | - |
| Mar 22, 2026 | - | 32.6M | - |
| Mar 23, 2026 | 307.7K | - | 157.9K |
| Mar 27, 2026 | - | - | - |
| Mar 29, 2026 | - | 27.9M | - |
| Mar 30, 2026 | 371.7K | - | 158.6K |
| Apr 3, 2026 | - | - | - |
| Apr 5, 2026 | - | 29.0M | - |
| Apr 6, 2026 | 349.1K | - | 159.0K |
| Apr 10, 2026 | - | - | - |
| Apr 11, 2026 | - | - | - |
| Apr 12, 2026 | - | 16.6M | - |
| Apr 13, 2026 | 189.8K | 3.3M | 159.2K |
| Apr 14, 2026 | 0 | - | 159.3K |