Is Autograd Safe?
Autograd — Nerq Trust Score 74.5/100 (B grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-20
Autograd is a Python package with a Nerq Trust Score of 74.5/100 (B), based on 3 independent data dimensions. Last analyzed: 2026-03-20 Security: 90/100. Popularity: 90/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-20. Machine-readable data (JSON).
Is Autograd safe?
Trust Score Breakdown — Autograd has a Nerq Trust Score of 74.5/100 (B). Measured across 2 independent trust signals (as of 2026-03-20).
What is Autograd's trust score?
Autograd has a Nerq Trust Score of 74.5/100, 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 Autograd?
Autograd's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Autograd and who maintains it?
| Author | Unknown |
| Category | Python Packages |
| Source | N/A |
Autograd Across Platforms
Same developer/company in other registries:
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Safety Guide: Autograd
What is Autograd?
Autograd is a Python package — Efficiently computes derivatives of NumPy code..
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=autograd
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Autograd has a Nerq Trust Score of 74/100 (B). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Autograd has a Trust Score of 74/100 (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.