Hugging Face vs Nango

Hugging Face vs Nango, compared side by side on 19 data points: what each one does, how big it is, what it has raised, the tech running each site, and what users report. We score both out of 100 on traction, team and visibility: Hugging Face is on 76/100 and Nango on 40/100.

Hugging Face logo
Hugging FaceHugging Face is the leading AI community and platform for machine learning collaboration, enabling developers to build, share, and deploy models, datasets, and applications.
Try Hugging Face
Nango logo
NangoNango is an open-source platform for product integrations that provides a unified API for connecting to over 500 services and supports tool-calling for AI agents.
Try Nango

Where each one leads

Hugging Face

  • our overall score: 76/100 against 40/100
  • agent readiness: 60/100 against 52/100
  • domain rating: 91/100 against 65/100
  • headcount: 726 against 18
  • LinkedIn following: 73,659 against 4,487

Nango

Leads on none of the measures we hold for both companies.

At a glance

MeasureHugging FaceNango
What it isHugging Face is the leading AI community and platform for machine learning collaboration, enabling developers to build, share, and deploy models, datasets, and applications.Nango is an open-source platform for product integrations that provides a unified API for connecting to over 500 services and supports tool-calling for AI agents.
CategoryAI, Machine Learning, SaaS, Open SourceAPI Platform, Developer Tools, Open Source, Integration Platform
Sells toBusiness modelB2B, B2CB2B
OfferingSoftwarePlatform
Founded2016Not published
HeadquartersNew York, United StatesUnknown, Unknown
StatusActiveActive

Size, funding and growth

MeasureHugging FaceNango
Employees72618
Total funding$395MNot published
Latest roundSeries DNot published
Valuation$4.5BNot published
LinkedIn followers73,6594,487

StartupHub scores

Our own 0-100 ratings. They measure company strength and site quality, not which product suits you.

MeasureHugging FaceNango
StartupHub scoreOur 0-100 rating76/10040/100
Traction60/10013/100
Team70/100Not published
Community20/100Not published
Search visibility69/10037/100
Quality85/10058/100
Agent readinessHow well an AI agent can read and act on the siteC (60/100)D (52/100)
Domain ratingLink authority, 0-10091/10065/100

Technology

Detected on each public site, so it reflects the marketing stack as well as the product.

MeasureHugging FaceNango
HostingAWSAWS
CDNCloudFrontCloudFront
FrameworksSvelte, Tailwind CSSTailwind CSS
PaymentsStripeNot detected
AnalyticsNot detectedGoogle Tag Manager
Open sourceYesYes
Self-hostableYesYes

Product and pricing

MeasureHugging FaceNango
Key featuresML Collaboration Platform, Extensive Model & Dataset Hub, Open Source ML Tooling, Scalable Compute & Deployment, Enterprise-Grade Solutions, Community-Driven DevelopmentNot published

What users say

MeasureHugging FaceNango
Community ratingVisitor votes on StartupHub5.0/5 from 1 voteNot published
Reddit sentimentThreads we trackNot published3 positive, 1 negative across 4 threads
Nango
Remember this post? Well I've personally used Nango and it's actually pretty awesome. So awesome in fact, that I've recently been devoting myself to loudly questioning why anyone would pay money to walled gardens like Merge and Finch ($65 a
r/PostgreSQL

Hugging Face vs Nango: common questions

Which is better, Hugging Face or Nango?

On our 0-100 score Hugging Face rates higher (76/100 against 40/100). The score weights traction, team, visibility and profile completeness, so it reflects company strength rather than which product suits you. We compare the two on 19 data points above: read the rows that match what you are buying for.

How do Hugging Face and Nango compare on the numbers?

Hugging Face leads on our overall score (76/100 against 40/100), agent readiness (60/100 against 52/100), domain rating (91/100 against 65/100), headcount (726 against 18), LinkedIn following (73,659 against 4,487).

What do real users say about Hugging Face and Nango?

Nango: 3 positive and 1 negative mentions across 4 Reddit threads we track, mostly in r/PostgreSQL.

Read the full Hugging Face review and pricing or the Nango review and pricing. You can also browse other Hugging Face alternatives we track.