What is ad-AJHZ?

48/100
Trust Score (D)
⚠️ Use Caution

ad-AJHZ is a pypi that A Package that calculates Automatic Differentiation for both Scalar and Vector Inputs. It has a Nerq Trust Score of 48/100 (D). 0 GitHub stars. Published by Aditi Memani, Hari Raval, Joseph Zuccarelli, liuzongjun. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

48
TRUST SCORE
D
GRADE
0
STARS
0
DOWNLOADS

What ad-AJHZ Does

ad-AJHZ is a pypi in the pypi category. A Package that calculates Automatic Differentiation for both Scalar and Vector Inputs. It is published by Aditi Memani, Hari Raval, Joseph Zuccarelli, liuzongjun 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-AJHZ

ad-AJHZ is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.

Details

AuthorAditi Memani, Hari Raval, Joseph Zuccarelli, liuzongjun
Categorypypi
LicenseNot specified
Typepypi
SourceView on GitHub
Security Score0/100
Activity Score0/100

How to Get Started

Check the trust score before installing:

curl nerq.ai/v1/preflight?target=ad-ajhz

Setup guide · Full safety report · Production review · Is it safe?

Frequently Asked Questions

What is ad-AJHZ used for?
ad-AJHZ is a pypi tool. A Package that calculates Automatic Differentiation for both Scalar and Vector Inputs.
Is ad-AJHZ free?
License: Check project page. ad-AJHZ has 0 GitHub stars.
Is ad-AJHZ safe?
ad-AJHZ has a Nerq Trust Score of 48/100 (D). Evaluate carefully.
What are alternatives to ad-AJHZ?
Top alternatives: . See full comparison.

Last updated September 2026. Trust scores based on automated analysis of public data.

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