Is Blobfile Safe?
Blobfile — Nerq Trust Score 76.2/100 (B+ grade). Score based on 2 independent trust signals. Last analyzed: 2026-04-12
Blobfile is a Python package with a Nerq Trust Score of 76.2/100 (B+), based on 3 independent data dimensions. Last analyzed: 2026-04-12 Security: 90/100. Popularity: 90/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-04-12. Machine-readable data (JSON).
Is Blobfile safe?
Trust Score Breakdown — Blobfile has a Nerq Trust Score of 76.2/100 (B+). Measured across 2 independent trust signals (as of 2026-04-12).
What is Blobfile's trust score?
Blobfile has a Nerq Trust Score of 76.2/100, 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 Blobfile?
Blobfile's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Blobfile and who maintains it?
| Author | Christopher Hesse |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Blobfile
What is Blobfile?
Blobfile is a Python package — Read GCS, ABS and local paths with the same interface, clone of tensorflow.io.gfile.
How to Verify Safety
Run pip audit or safety check. Review on PyPI for download stats.
You can also check the trust score via API: GET /v1/preflight?target=blobfile
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Blobfile has a Nerq Trust Score of 76/100 (B+). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Blobfile has a Trust Score of 76/100 (B+).
- The score is a measured composite — it is not a suitability judgment. Evaluate the individual signals against your own requirements.
- Query the current measured values via the Nerq API.
Detailed Score Analysis
| Dimension | Score |
|---|---|
| Security | 90/100 |
| Maintenance | 100/100 |
| Popularity | 90/100 |
| Quality | 50/100 |
| Community | 35/100 |
Based on 5 dimensions. Data from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard.
What data does Blobfile collect?
Blobfile is a Python package maintained by Christopher Hesse. It receives approximately 2,831,155 weekly downloads. Licensed under Public Domain.
As a development package, Blobfile does not directly collect end-user personal data. However, applications built with it may collect data depending on implementation. Privacy score: 80/100.
Review the package's dependencies for potential supply chain risks. Run your package manager's audit command regularly.
Full analysis: Blobfile Privacy Report · Privacy review
Is Blobfile secure?
Security score: 90/100. Blobfile has 0 known vulnerabilities (CVEs) in the National Vulnerability Database. This is a clean record.
Licensed under Public Domain, allowing code inspection. Open-source packages allow independent security review of the source code.
Run your package manager's audit command (`npm audit`, `pip audit`, `cargo audit`) to check for known vulnerabilities in your dependency tree.
Full analysis: Blobfile Security Report
How we calculated this score
Blobfile's trust score of 76.2/100 (B+) is computed from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. The score reflects 5 independent dimensions: security (90/100), maintenance (100/100), popularity (90/100), quality (50/100), community (35/100). 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.
Signals last measured on April 12, 2026. Data version: 1.0.
Full methodology documentation · Machine-readable data (JSON API)
Frequently Asked Questions
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Disclaimer: Nerq trust scores are automated measurements based on publicly available signals. They are not endorsements, verdicts, or guarantees of suitability. Always evaluate the signals against your own requirements.