- Home
- Machine Learning Data Catalog Software
- Hugging Face Hub
Hugging Face Hub
Paris, France
What it is
Hugging Face Hub is a cloud platform for discovering and building with machine learning models, datasets, and apps. Its Git-based repositories track versions, commits, diffs, and branches. For files that do not need Git history, Storage Buckets provide mutable object storage, while Spaces host interactive apps and demos, including Gradio and Docker projects. Open-source library integrations and Python or JavaScript clients support uploading and downloading Hub files. Inference Providers make models available through a programmatic API, and Inference Endpoints offer dedicated autoscaling deployments. Organizations can group accounts and repositories and assign roles to control access. Security options include private repositories, access tokens, MFA, commit signatures, malware scanning, and resource groups. Team and Enterprise include SSO support for OIDC- or SAML-compliant identity providers. Free users and organizations receive 100GB of private storage; public storage is best-effort and subject to abuse mitigations. Plans include Free, PRO Account at $9 per month, Team at $20 per month, and Enterprise at $50 per month. The Hub is available on the web, Linux, and through an API.
For and against
For
- Git repositories track versions, commits, diffs, and branches.
- Spaces host interactive apps and demos.
- Python and JavaScript clients transfer Hub files.
- Inference Endpoints offer dedicated autoscaling deployments.
- Private repositories and MFA are available.
Against
- Free private storage is limited to 100GB.
- Public storage is best-effort and subject to abuse mitigations.
- Enterprise is $50 per month.
The verdict
Hugging Face Hub combines model and dataset collaboration with app hosting, storage, and inference options. Its free tier has a stated private-storage limit, while higher-tier features and support require paid plans.
Who it suits
It suits people building, sharing, or managing machine learning models, datasets, and apps. Teams needing organization roles, identity integration, or dedicated support can consider its higher plans.
Plans and prices
Free user or org
100GB private storage · public storage best-effort
Read 29 Sep 2026 · huggingface.co
PRO Account
10× private storage capacity · 2× public storage capacity · 20× included inference credits · 8× ZeroGPU quota
Read 29 Sep 2026 · huggingface.co
Team
SSO · Storage Regions · Audit Logs · Resource Groups
Read 29 Sep 2026 · huggingface.co
Enterprise
Highest storage, bandwidth, and API rate limits · SCIM · advanced security and access controls · annual commitments
Read 29 Sep 2026 · huggingface.co
On the record
- Collaboration
- Organizations group accounts and repositories, with roles that let admins control access to organizational resources.huggingface.co · read 29 Sep 2026
- Compliance
- Hugging Face states that the Hub is GDPR compliant and SOC 2 Type 2 certified.huggingface.co · read 29 Sep 2026
- Identity integration
- Team and Enterprise SSO supports OIDC- or SAML-compliant identity providers, including Okta, OneLogin, and Microsoft Entra ID.huggingface.co · read 29 Sep 2026
- Inference
- Inference Providers let users run models through a programmatic API, and dedicated autoscaling deployments are available through Inference Endpoints.huggingface.co · read 29 Sep 2026
- Integrations
- The Hub supports integrations with open-source libraries, and Python or JavaScript clients can upload and download Hub files.huggingface.co · read 29 Sep 2026
- Limits
- Free users and organizations have 100GB of private storage, while public storage is best-effort and subject to abuse mitigations.huggingface.co · read 29 Sep 2026
- Purpose
- The Hub is a platform for discovering, sharing, building, and collaborating on machine learning models, datasets, and apps.huggingface.co · read 29 Sep 2026
- Repositories
- Hub repositories are Git-based and support versioning, commit history, diffs, and branches.huggingface.co · read 29 Sep 2026
- Security
- Hub security features include private repositories, access tokens, MFA, commit signatures, malware scanning, and resource groups.huggingface.co · read 29 Sep 2026
- Spaces
- Spaces host interactive machine learning apps and demos, including Gradio and Docker apps.huggingface.co · read 29 Sep 2026
- Storage Buckets
- Storage Buckets provide mutable object storage for files that do not need Git versioning.huggingface.co · read 29 Sep 2026
- Support
- The Enterprise plan includes dedicated support.huggingface.co · read 29 Sep 2026
