open-extract vs huggingface-hub — Trust Score Comparison

Name: open-extract vs huggingface-hub Trust Comparison
Creator: Nerq

Side-by-side trust comparison of open-extract and huggingface-hub. Scores based on security, compliance, maintenance, popularity, and ecosystem signals.

open-extract scores 72.7/100 (B) while huggingface-hub scores 53.2/100 (D) on the Nerq Trust Score. open-extract leads by 19.5 points. open-extract is a uncategorized agent with 182 stars, Nerq Verified. huggingface-hub is a uncategorized agent with 0 stars.

open-extract

72.7

B verified

Categoryuncategorized

Stars182

Sourcegithub

Security0

Compliance100

Maintenance0

Documentation0

huggingface-hub

53.2

Categoryuncategorized

Stars0

Sourcepypi_full

Compliance92

Detailed Metric Comparison

Metric	open-extract	huggingface-hub
Trust Score	72.7/100	53.2/100
Grade	B	D
Stars	182	0
Category	uncategorized	uncategorized
Security	0	N/A
Compliance	100	92
Maintenance	0	N/A
Documentation	0	N/A
EU AI Act Risk	N/A	N/A
Verified	Yes	No

Verdict

open-extract leads with a trust score of 72.7/100 compared to huggingface-hub's 53.2/100 (a 19.5-point difference). open-extract scores higher on compliance (100 vs 92). Both agents should be evaluated based on your specific requirements.

Detailed Analysis

Security

Security scores measure dependency vulnerabilities, CVE exposure, and security practices. open-extract scores 0 and huggingface-hub scores N/A on this dimension.

Maintenance & Activity

Activity scores reflect how actively each project is maintained. open-extract: 0, huggingface-hub: N/A.

Documentation

Documentation quality is evaluated based on README, API docs, and example coverage. open-extract: 0, huggingface-hub: N/A.

Community & Adoption

open-extract has 182 GitHub stars while huggingface-hub has 0. open-extract has significantly broader community adoption, which typically means more Stack Overflow answers, more third-party tutorials, and faster ecosystem development.

When to Choose Each Tool

Choose open-extract if you need:

Higher overall trust score — more reliable for production use
Larger community (182 vs 0 stars)

Choose huggingface-hub if you need:

Consider if it better fits your specific use case

Switching from open-extract to huggingface-hub (or vice versa)

When migrating between open-extract and huggingface-hub, consider these factors:

API Compatibility: open-extract (uncategorized) and huggingface-hub (uncategorized) share similar interfaces since they are in the same category.
Security Review: Run a security audit after migration. Check the open-extract safety report and huggingface-hub safety report for known issues.
Testing: Ensure your test suite covers all integration points before switching in production.
Community Support: open-extract has 182 stars and huggingface-hub has 0. Larger communities typically mean better Stack Overflow answers and migration guides.

open-extract Safety Report huggingface-hub Safety Report open-extract Alternatives huggingface-hub Alternatives

Frequently Asked Questions

Which is safer, open-extract or huggingface-hub?

Based on Nerq's independent trust assessment, open-extract has a trust score of 72.7/100 (B) while huggingface-hub scores 53.2/100 (D). The 19.5-point difference suggests open-extract has a stronger trust profile. Trust scores are based on security, compliance, maintenance, documentation, and community adoption.

How do open-extract and huggingface-hub compare on security?

open-extract has a security score of 0/100 and huggingface-hub scores N/A/100. There is a notable difference in their security assessments. open-extract's compliance score is 100/100 (EU risk: N/A), while huggingface-hub's is 92/100 (EU risk: N/A).

Should I use open-extract or huggingface-hub?

The choice depends on your requirements. open-extract (uncategorized, 182 stars) and huggingface-hub (uncategorized, 0 stars) serve similar use cases. On trust, open-extract scores 72.7/100 and huggingface-hub scores 53.2/100. Review the full KYA reports for each agent before making a decision. Consider factors like integration requirements, documentation quality (0 vs N/A), and maintenance activity (0 vs N/A).

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Last updated: 2026-08-01 | Data refreshed weekly
Disclaimer: Nerq trust scores are automated assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence.