Is Hugging Face Safe?
Hugging Face — Nerq Trust Score 79.0/100 (B+ grade). Based on analysis of 2 trust dimensions, it is generally safe but has some concerns. Last updated: 2026-04-04.
Yes, Hugging Face is safe to use. Hugging Face is a AI tool with a Nerq Trust Score of 79.0/100 (B+), based on 3 independent data dimensions. It is recommended for use. Security: 90/100. Popularity: 0/100. Data sourced from privacy policy analysis, data handling practices, company background, and security certifications. Last updated: 2026-04-04. Machine-readable data (JSON).
Is Hugging Face safe?
YES — Hugging Face has a Nerq Trust Score of 79.0/100 (B+). It meets Nerq's trust threshold with strong signals across security, maintenance, and community adoption. Recommended for use — review the full report below for specific considerations.
What is Hugging Face's trust score?
Hugging Face has a Nerq Trust Score of 79.0/100, earning a B+ grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Hugging Face?
Hugging Face's strongest signal is security at 90/100. No known vulnerabilities have been detected. It meets the Nerq Verified threshold of 70+.
What is Hugging Face and who maintains it?
| Author | Unknown |
| Category | ai_tool |
| Source | N/A |
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Safety Guide: Hugging Face
What is Hugging Face?
Hugging Face is a software — AI community platform hosting 500K+ models and 100K+ datasets. The GitHub of machine learning..
How to Verify Safety
Review the project for recent activity and known issues.
You can also check the trust score via API: GET /v1/preflight?target=Hugging Face
Key Safety Concerns for softwares
When evaluating any software, watch for: maintenance status, security.
Trust Assessment
Hugging Face has a Nerq Trust Score of 48/100 (D) and has not yet reached Nerq trust threshold (70+). This score is based on automated analysis of security, maintenance, community, and quality signals.
Alternatives
- haotian-liu/LLaVA — 71/100
- wan22_i2v_14b_orbit_shot_lora — 59/100
- ChuckNorris (L1B3RT4S Prompt Enhancer) — 46/100
Key Takeaways
- Hugging Face has a Trust Score of 48/100 (D).
- Review carefully before use — below trust threshold.
- Always verify independently using the Nerq API.
Detailed Score Analysis
| Dimension | Score |
|---|---|
| Security | 90/100 |
| Privacy | 36/100 |
| Reliability | 46/100 |
| Transparency | 43/100 |
| Maintenance | 60/100 |
Based on 5 dimensions. Data from privacy policy analysis, data handling practices, company background, and security certifications.
What data does Hugging Face collect?
Hugging Face is an AI tool. AI community platform hosting 500K+ models and 100K+ datasets. The GitHub of machine learning.
Privacy score: 36/100. AI tools may use inputs for model improvement unless explicitly opted out. Check the data usage policy before sharing confidential information, code, or personal data.
Consider whether the tool offers enterprise plans with data isolation, SOC 2 compliance, or on-premise deployment options.
Full analysis: Hugging Face Privacy Report · Privacy review
Is Hugging Face secure?
Security score: 90/100. AI community platform hosting 500K+ models and 100K+ datasets. The GitHub of machine learning.
Check Hugging Face's security page for certifications such as SOC 2 Type II, ISO 27001, or GDPR compliance documentation. These certifications indicate that the vendor follows established security practices and undergoes regular audits.
For enterprise deployments, verify SSO/SAML support, role-based access control, and audit logging capabilities.
Full analysis: Hugging Face Security Report
How we calculated this score
Hugging Face's trust score of 79.0/100 (B+) is computed from privacy policy analysis, data handling practices, company background, and security certifications. The score reflects 5 independent dimensions: security (90/100), privacy (36/100), reliability (46/100), transparency (43/100), maintenance (60/100). Each dimension is weighted equally to produce the composite trust score.
Nerq analyzes over 7.5 million entities across 26 registries using the same methodology, enabling direct cross-entity comparison. Scores are updated continuously as new data becomes available.
This page was last reviewed on April 04, 2026. Data version: 1.0.
Full methodology documentation · Machine-readable data (JSON API)
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Disclaimer: Nerq trust scores are automated assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence.