What is AD-Derivators?
AD-Derivators is a pypi that Auto-Differentiation Package based on Forward Mode. It has a Nerq Trust Score of 49/100 (D). 0 GitHub stars. Published by Alice Li, Ethan Schumann, Ruizhe Kang, Vikram Shastry. Last analyzed September 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 0/100 — Maintenance activity is low
- ⚠️ Community: 0 stars, 0 downloads — Growing community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
What AD-Derivators Does
AD-Derivators is a pypi in the pypi category. Auto-Differentiation Package based on Forward Mode. It is published by Alice Li, Ethan Schumann, Ruizhe Kang, Vikram Shastry and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use AD-Derivators
AD-Derivators is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.
Details
| Author | Alice Li, Ethan Schumann, Ruizhe Kang, Vikram Shastry |
|---|---|
| Category | pypi |
| License | Not specified |
| Type | pypi |
| Source | View on GitHub |
| Security Score | 0/100 |
| Activity Score | 0/100 |
How to Get Started
Check the trust score before installing:
curl nerq.ai/v1/preflight?target=ad-derivators
Setup guide · Full safety report · Production review · Is it safe?
Frequently Asked Questions
Last updated September 2026. Trust scores based on automated analysis of public data.