Hugging Face
Collaboration platform hosting machine-learning models, datasets and demo applications.
Visit directory (opens in a new tab)
Official submission page (opens in a new tab)
- Verified
- Free and paid tiers
- Verification required
- Registration required
- No review system
What this directory accepts
- Startups
- Unknown
- SaaS products
- Yes
- Enterprises
- Yes
- Agencies
- Unknown
- Freelancers
- Unknown
- Local businesses
- Unknown
- Developer tools
- Yes
- Open-source projects
- Yes
- Non-profits
- Unknown
- AI products
- Yes
- Mobile apps
- Unknown
- Ecommerce stores
- Unknown
Metrics
- PetroHrys Score
- 84
- Domain Rating
- Unknown
- Authority Score
- Unknown
- Estimated traffic
- Unknown
- Referring domains
- Unknown
Domain Rating, Authority Score, estimated traffic and referring domains are third-party metrics produced by their respective providers, not by PetroHrys.com. The PetroHrys Score is a first-party editorial assessment.
How the PetroHrys Score was reached
- Editorial trust 15%
- 9 / 10
- Business usefulness 15%
- 9 / 10
- Verification quality 12%
- 7 / 10
- Platform reputation 10%
- 9 / 10
- Spam resistance 10%
- 7 / 10
- Industry importance 10%
- 10 / 10
- Long-term stability 10%
- 8 / 10
- Submission quality 8%
- 9 / 10
- Transparency 5%
- 8 / 10
- Moderation quality 5%
- 7 / 10
The PetroHrys Score is a first-party editorial assessment, not a third-party authority metric. It is the weighted sum of the ten factors above, each scored from 0 to 10 by a human reviewer, with weights totalling 100%.
Verification
- Verification status
- Verified
- Verification source
- Official website
- Last verified
- Next verification due
- Editorial reviewer
- Petro Hrys
Recommended industries
- Machine learning
- AI research
- Data science
Assessment
Strengths
- Unlimited free public models, datasets and applications
- Central to the open ML ecosystem
Limitations
- Publishing is unmoderated, so quality varies widely
Submission guidance
- Submission difficulty
- Easy
- Typical listing quality
- High
- Typical approval time
- Unknown
- Review process
- Unknown
Best for
- Teams publishing open models or datasets
- AI products wanting developer distribution
Not recommended for
- Non-technical businesses
- Companies with no ML artefact to publish
Preparation checklist
- Model or dataset card written
- Licence chosen
- Organisation account created
Common mistakes
- Publishing without a model card, which leaves the artefact undiscoverable and unusable
Required assets
Marked Unknown unless the official submission form was read.
- Logo
- Unknown
- Website
- Unknown
- Description
- Unknown
- Categories
- Unknown
- Contact information
- Unknown
- Screenshots
- Unknown
- Business verification
- Unknown