Is Redis Data Structures Safe?
Redis Data Structures — Nerq Trust Score 66.2/100 (B- grade). Score based on 2 independent trust signals. Last analyzed: 2026-11-01
Redis Data Structures is a Python package with a Nerq Trust Score of 66.2/100 (B-), based on 3 independent data dimensions. Last analyzed: 2026-11-01 Security: 90/100. Popularity: 60/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-11-01. Machine-readable data (JSON).
Is Redis Data Structures safe?
Trust Score Breakdown — Redis Data Structures has a Nerq Trust Score of 66.2/100 (B-). Measured across 2 independent trust signals (as of 2026-11-01).
What is Redis Data Structures's trust score?
Redis Data Structures has a Nerq Trust Score of 66.2/100, 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 Redis Data Structures?
Redis Data Structures's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Redis Data Structures and who maintains it?
| Author | Unknown |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Redis Data Structures
What is Redis Data Structures?
Redis Data Structures is a Python package — Redis-backed data structures for building scalable and resilient applications.
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=redis-data-structures
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Redis Data Structures has a Nerq Trust Score of 66/100 (B-). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Redis Data Structures has a Trust Score of 66/100 (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.
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.