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Hugging Face

Hosts machine learning models, datasets, and applications for collaborative development and deployment.

DataAPIFor developersCode generation
huggingface.co ↗LinkedInXGitHubWikipediaWikidata
Hugging Face, Inc., is an American company based in New York City that develops computation tools for building applications using machine learning.First sentence of the English Wikipedia article
At a glanceswept 2026-10-12

≈ 1.1Mvisits/mo

Widely used · estimate, read 2026-10-12

  • Hugging Face1.1M
  • #2 Agenty505k
  • Data median113
For
Machine learning teams and researchers building and deploying AI models collaboratively
Price
From $9/mopricing page, read 2026-10-12 ↗
Activity
Actively maintainedsite updated 3 days ago
Company
Company · since 2016 · ~250 people · $15M (FY2022)privacy policy · per Wikidata
Runs as
API
AlternativesSet it up for my teamIs Hugging Face yours? Claim the card →
What people do with itread off huggingface.co on 2026-10-12
  • host and share machine learning models with the community
  • deploy models on GPU infrastructure for inference
  • store and manage datasets for training machine learning applications
The companyeach fact with its source · read 2026-10-12
  • Founded2016per Wikidata
  • People~250per Wikidata · as of 2025-02-01
  • Revenue$15Mper Wikidata · FY2022
  • Raised$19.7M · Form Dper SEC filings · 2019-12 ↗
  • HeadquartersParisper Wikidata
Your datawhat they publish, each line with its page · read 2026-10-12

These are Hugging Face's own statements, read from its pages. We did not audit them. A line that is missing was not found on the pages we read; it does not mean the practice is absent.

How a program reaches itfound, not claimed · read 2026-10-12
  • MCP serverco.huggingface/hf-mcp-serververified in the MCP registry
  • Stateanswers, requires sign-inchecked 2026-10-12
  • Address to connecthuggingface.co/mcp?login
  • Status pagelinked from the homepagestatus.huggingface.co ↗

MCP server details →

Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.

Alternatives in Databy use, among tools still maintained

Figure and bar: visits/mo, estimate · year: online since

All Data tools →

In the newsnewest 2026-10-13
All news from Hugging Face →
Questions this page answers
  • What is Hugging Face?

    Hosts machine learning models, datasets, and applications for collaborative development and deployment. It is listed in the Atlas under Data and made by Company.

  • Who is Hugging Face for?

    Machine learning teams and researchers building and deploying AI models collaboratively

  • How much does Hugging Face cost?

    Paid plans start at $9/mo, per Hugging Face's pricing page on 2026-10-12.

  • Do people use Hugging Face?

    Widely used: ≈ 1.1M visits/mo · estimate, 2026-10.

  • Is Hugging Face still maintained?

    Actively maintained: site updated 3 days ago.

  • Who owns Hugging Face?

    Hugging Face is run by Company, per its privacy policy (2026-10-12).

  • How do I cancel Hugging Face?

    In its own words (terms of service, 2026-10-12): “You may decide to cancel your Account whenever you want, at your sole discretion.”

  • Does Hugging Face give refunds?

    In its own words (terms of service, 2026-10-12): “All fees are non-refundable and exclusive of any applicable taxes, which the Customer is solely responsible to pay.”

  • What are alternatives to Hugging Face?

    In Data, by use: Apify, TradeDesk, Bright Data, pg_search on Neon, Chef by Convex, Yugabyte.

Not quite it? Describe the job

beta

Five tools from the Atlas that fit it, each judged against what you wrote.

How we read a tool

No votes, no reviews, no vendor claims. Every week a crawler reads each tool's own site and a few public registries, and the words on the card are bands over what it read.

  • Use: visits to the site (estimated), installs from npm and PyPI, presence in Chrome's usage report.
  • Activity: the newest release on GitHub, npm or PyPI; the newest dated page on the site; open roles on a public jobs board.
  • Price: the vendor's own pricing page, read with the date. A figure is printed only when it is on that page.
  • The line and the use cases are written by us from the homepage, one tool at a time, and refused when they repeat the vendor's marketing.

How AI assistants read each site — the reading vendors ask us about — is on each tool's own visibility page.