Machine Learning · head to head
Hugging Face vs Passbolt

Passbolt
Cybersecurity
Open-source password manager for teams with self-hosted or cloud deployment
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Hugging Face model discovery across 3 million models lacks robust filtering and sorting by quality metrics; Passbolt pro Edition requires a minimum of 10 users, making it costlier for very small teams.
- They diverge on capability: Hugging Face covers Model hub, Passbolt covers Password sharing and folders.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Hugging Face and Passbolt actually diverge.
| Attribute | Hugging Face | Passbolt |
|---|---|---|
| Pricing model | Unknown | open-source |
| Platforms | Web, API | web, windows, mac, linux, api |
| Category | Machine Learning | Cybersecurity |
| Founded | 2016 | Unknown |
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in Hugging Face
- Model hub
- Datasets
- Spaces
- Transformers library
- GitHub
- Cloud providers
- MLOps tools
- Web support
Only in Passbolt
- Password sharing and folders
- Groups and role-based access
- Browser extensions and CLI
- Open API
- LDAP provisioning and SSO
- Activity audit log
What people use each for
The jobs each tool is most often brought in to do.
Hugging Face
- ai tools managementnot Passbolt
- Workflow automationnot Passbolt
- Reportingnot Passbolt
Passbolt
- Self-hosting a team password manager for data sovereigntynot Hugging Face
- Provisioning vault access from an existing LDAP/AD directorynot Hugging Face
- Sharing credentials across engineering or IT teams via folders and groupsnot Hugging Face
- Automating credential retrieval through the CLI or open APInot Hugging Face
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Hugging Face
- Model discovery across 3 million models lacks robust filtering and sorting by quality metrics
- Community-driven content means variable model quality and documentation
- Private models and datasets require Pro subscription
- Enterprise support and SLAs require custom arrangements
Passbolt
- Pro Edition requires a minimum of 10 users, making it costlier for very small teams.
- Community Edition lacks SSO and LDAP provisioning, which many organizations need for onboarding at scale.
- Self-hosting the Community Edition requires infrastructure and maintenance effort compared to fully managed competitors.
- Enterprise-tier support and HA consulting require custom, quote-based pricing rather than transparent rates.
Pricing, plan by plan
Hugging Face
FreeNo published plan breakdown. See the Hugging Face review.
Passbolt
Free- Community EditionFree
- Unlimited users
- Password sharing and folders
- Role-based access control
- Pro Edition$4.9/month
- Minimum 10 users, billed annually
- LDAP/AD provisioning
- Single sign-on
- Enterprise Edition$undefined/month
- High availability and disaster recovery consulting
- White-glove migration
- Custom feature development
Which should you pick?
Choose Hugging Face if
- You need model hub.
- You want to start without paying.
- You work on Web, API.
- You also want datasets.
Choose Passbolt if
- You need password sharing and folders.
- You want to start without paying.
- You work on web, windows, mac, linux, api.
- You also want groups and role-based access.
Questions people ask
- Is Hugging Face or Passbolt better?
- Neither clearly leads. Hugging Face starts at Free and Passbolt at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Hugging Face or Passbolt?
- Hugging Face starts at Free and Passbolt at Free.
- Does Hugging Face or Passbolt run on more platforms?
- Hugging Face runs on Web, API. Passbolt runs on web, windows, mac, linux, api.
- Can I use Hugging Face for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Hugging Face best used for?
- Hugging Face is most often used for ai tools management, workflow automation, reporting. Of those, ai tools management and workflow automation are not what Passbolt is typically brought in for.
- What can Hugging Face do that Passbolt cannot?
- Hugging Face covers Model hub, Datasets, Spaces, Transformers library. Passbolt covers Password sharing and folders, Groups and role-based access, Browser extensions and CLI, Open API.
Answered from the vendors’ own pages
Hugging Face: Is Hugging Face free to use?
Yes. Hugging Face allows users to host and collaborate on unlimited public models, datasets, and applications at no cost. Models can be accessed and used freely from the Hub.
SourcePassbolt: Is Passbolt free to use?
Yes. The Community Edition is free forever with unlimited users, including password sharing, folders, groups, role-based access, browser extensions, a CLI, and an open API.
SourceHugging Face: How many models are available on Hugging Face?
Hugging Face Hub currently hosts nearly 3 million machine learning models across various tasks including text generation, image processing, and video generation.
SourcePassbolt: What does the Pro Edition cost and add?
Pro Edition costs $4.90 per user per month billed annually, with a 10-user minimum, and adds LDAP/AD provisioning, single sign-on, account recovery escrow, activity audit logs, and next-business-day support.
SourceHugging Face: What is the Hugging Face Inference API?
Hugging Face provides access to 45,000+ models from leading AI providers through a single unified API with no service fees, simplifying access to diverse models.
SourcePassbolt: What license is Passbolt distributed under?
All Passbolt editions, including Pro and Enterprise, are distributed under the AGPL v3 open-source license.
SourceHugging Face: What content types does Hugging Face support?
Hugging Face supports text, image, video, audio, and 3D content models, allowing collaboration across multiple modalities and use cases.
SourceHugging Face: What is the transformers library?
Transformers is a Hugging Face library built for natural language processing applications, providing pre-built models and utilities for NLP tasks.
SourceRelated pages
More on Hugging Face
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- Passbolt vs OpenAI API
- Passbolt vs Cohere
- Passbolt vs Fal AI
- Passbolt vs Google Vertex AI
- Passbolt vs H2O.ai
- Passbolt vs LlamaIndex
- Passbolt vs Haystack
- Passbolt vs DataRobot
- Passbolt vs MATLAB
- Passbolt vs IBM SPSS
- Passbolt vs JMP
- Passbolt vs Minitab
- Passbolt vs Mistral AI
- Passbolt vs Ollama
- Passbolt vs OpenRouter
- Passbolt vs Bitwarden
- Passbolt vs LastPass
- Passbolt vs authentik
- Passbolt vs 1Password
- Passbolt vs Authelia
- Passbolt vs Enpass
- Passbolt vs HashiCorp Vault
- Passbolt vs Infisical
- Passbolt vs Norton 360
- Passbolt vs Semgrep
- Passbolt vs Trivy
- Passbolt vs Chainguard
- Passbolt vs Trulioo
- Passbolt vs Unit21
- Passbolt vs Veracode
- Passbolt vs Very Good Security
- Passbolt vs VIVOTEK VAST Security Station
- Passbolt vs Windscribe

