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Hugging Face

Open-source ML platform hosting models, datasets, and Spaces

AI InfrastructureFounded January 2016#1 of 54 in AI Infrastructure

Updated May 29, 2026

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Company profile

What is Hugging Face?

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.

Company research

As of May 5, 2026
  1. Hacker News mentions increased 29.2% over the last 30 days. Hacker News is discussion volume, not adoption.

Source check
Standard. Use as a directional reading from retained source data.
Sources
Public metric data from 5 providers.

History

Research history

2 research updates

Ai Infrastructure

Hugging Face: Hacker News mentions increased 29.2% over the last 30 days

Latest
Ai Infrastructure

Hugging Face: Hacker News mentions increased 26.4% over the last 30 days

1 metric

Latest company data

Primary data point

Downloads

142.6M/30d

npm
1.5M
PyPI
141.1M

Tracked packages: npm @huggingface/inference; PyPI transformers

▲ +1%npm + PyPI: Updated 1d ago

Other data points

Dependent projects

10.7K

npm
305
PyPI
10.4K

Projects depending on tracked packages: npm @huggingface/inference; PyPI transformers

npm + PyPI: Updated 9h ago

GitHub stars

161.0K

Main repository stars

Updated 9h ago

Hacker News

274/30d

Position #2 in category discussion

Updated 9h ago

Repository health

Maintenance data from the main open-source repository.

OpenSSF Scorecard
7.6
Key-person risk
4
External contributors
28
% of recent contributors outside the core team
Releases (30d)
0

Repository usage

Public repositories and source files importing packages tied to Hugging Face.

Repos importing
33.0K0%

About Hugging Face

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.

FoundersClément Delangue, Julien Chaumond, Thomas Wolf

Funding

$394M · 5 rounds

Raised $394M total. Category position #1 of 54 in AI Infrastructure.

Series D2023

Sequoia Capital, Lightspeed Venture Partners

$235M
Series C2022

Sequoia Capital, Lux Capital

$100M
Series B2021

Addition

$40M
Series A2019

Lux Capital

$15M
Seed2018

Betaworks

$4M

Investors

AdditionBetaworksLightspeed Venture PartnersLux CapitalSequoia Capital

Tracked packages (2)

1 npm, 1 PyPI

@huggingface/inference

npmMain npm package

@huggingface/inference

A no-code solution for automatically training and fine-tuning machine learning models for various tasks.

transformers

PyPIMain PyPI package

transformers

A no-code solution for automatically training and fine-tuning machine learning models for various tasks.