Company research
As of June 10, 2026
Hacker News mentions decreased 29.5% over the last 30 days. This metric measures public discussion volume.
Hugging Face
TrendingOpen-source ML platform hosting models, datasets, and Spaces
AI InfrastructureFounded January 2016#1 of 54 in AI Infrastructure
Updated June 10, 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.
History
Research history
7 research updates
History
Research history
Ai Infrastructure
Hugging Face: Hacker News mentions decreased 31.5% over the last 30 days
1 metricAi Infrastructure
Hugging Face: GitHub commits decreased 33.1% over the last 30 days
2 metricsAi Infrastructure
Hugging Face: GitHub commits decreased 33.7% over the last 30 days
2 metricsAi Infrastructure
Hugging Face: GitHub commits decreased 33.3% over the last 30 days
2 metricsAi Infrastructure
Hugging Face: Hacker News mentions decreased 34.8% over the last 30 days
2 metricsAi Infrastructure
Hugging Face: Hacker News mentions decreased 31.3% over the last 30 days
1 metricAi Infrastructure
Hugging Face: Hacker News mentions decreased 34% over the last 30 days
1 metricLatest company data
Primary data point
Package downloads (30d)Metric: npm downloadsSource: npm registryScope: UTC activity dayUpdates: DailyFreshness: 48h target; 36h expected source lagConfidence: HighCaveat: Includes all package installations including CI/CD pipelines and mirrors.Methodology →Metric: PyPI downloadsSource: PyPI BigQueryScope: UTC activity dayUpdates: DailyFreshness: 48h target; 48h expected source lagConfidence: HighCaveat: Includes all package installations including CI/CD pipelines and mirrors; pypistats is fallback only.Methodology →
145.2M/30d
- npm
- 1.6M
- PyPI
- 143.7M
Tracked packages: npm @huggingface/inference; PyPI transformers
▼ -3%npm + PyPI: Updated 1d ago
Other data points
Dependent projectsMetric: npm dependentsSource: Libraries.io APIScope: UTC daily snapshotUpdates: DailyFreshness: 48h target; 48h expected source lagConfidence: HighCaveat: Counts direct and dev dependents.Methodology →Metric: PyPI dependentsSource: Libraries.io APIScope: UTC daily snapshotUpdates: DailyFreshness: 48h target; 48h expected source lagConfidence: HighCaveat: Counts direct reverse dependencies from PyPI.Methodology →
10.9K
- npm
- 305
- PyPI
- 10.6K
Projects depending on tracked packages: npm @huggingface/inference; PyPI transformers
npm + PyPI: Updated 19h ago
GitHub starsMetric: GitHub starsSource: GitHub GraphQL + GH ArchiveScope: UTC daily snapshotUpdates: DailyFreshness: 48h target; 24h expected source lagConfidence: HighCaveat: Stars are bookmarks, not usage.Methodology →
161.5K
Main repository stars
Updated 19h ago
Hacker NewsMetric: Hacker News mentionsSource: Hacker News Algolia APIScope: UTC activity dayUpdates: DailyFreshness: 48h target; 24h expected source lagConfidence: HighCaveat: Search relevance and historical availability come from Algolia's HN index.Methodology →
248/30d
Position #3 in category discussion
Updated 19h ago
Repository health
Maintenance data from the main open-source repository.
OpenSSF ScorecardSource: OpenSSF ScorecardUpdates: WeeklyCaveat: Score 0–10 across security practices; not all checks apply to every repoMethodology →
7.6
Key-person riskSource: GitHub public event dataUpdates: WeeklyCaveat: Minimum developers needed for half of recent code changes. Lower = higher concentration risk.Methodology →
4
External contributorsSource: GitHub public event dataUpdates: WeeklyCaveat: Based on push events; may undercount contributors who only open PRsMethodology →
41
% of recent contributors outside the core team
Releases (30d)Source: GitHub release dataUpdates: WeeklyCaveat: Published releases in the last 30 daysMethodology →
0
Repository usage
Public repositories and source files importing packages tied to Hugging Face.
Repos importingMetric: Public GitHub repos using company packagesSource: ecosyste.ms Packages APIScope: UTC daily snapshotUpdates: DailyFreshness: 48h target; 48h expected source lagConfidence: HighCaveat: Public GitHub dependency data only; private repos and direct API use outside those packages are not visible.Methodology →
33.0K0%
Hiring mentions
Mentions of Hugging Face in recent Hacker News "Who's Hiring" threads.
Hiring mentions (monthly)Metric: Hiring mentionsSource: HN Who's Hiring threadsScope: UTC activity dayUpdates: DailyFreshness: 48h target; 48h expected source lagConfidence: MediumCaveat: Based on Hacker News data; skews toward startup/tech.Methodology →
3
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 roundsRaised $394M total. Category position #1 of 54 in AI Infrastructure.
Series D2023
$235MSequoia Capital, Lightspeed Venture Partners
Series C2022
$100MSequoia Capital, Lux Capital
Series B2021
$40MAddition
Series A2019
$15MLux Capital
Seed2018
$4MBetaworks
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 packagetransformers
A no-code solution for automatically training and fine-tuning machine learning models for various tasks.