What is DimensionalShrink?

38/100
Trust Score (E)
🔴 Avoid

DimensionalShrink is a AI tool that Reduces the dimensionality of massive datasets using PCA while retaining critical variance.. It has a Nerq Trust Score of 38/100 (E). 0 GitHub stars. Published by 0x5d835c8672dc8239a48e02386a05c1c389cdbebb. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

38
TRUST SCORE
E
GRADE
0
STARS
0
DOWNLOADS

What DimensionalShrink Does

DimensionalShrink is a agent in the AI tool category. Reduces the dimensionality of massive datasets using PCA while retaining critical variance.. It is published by 0x5d835c8672dc8239a48e02386a05c1c389cdbebb and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use DimensionalShrink

DimensionalShrink is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.

Details

Author0x5d835c8672dc8239a48e02386a05c1c389cdbebb
CategoryAI tool
LicenseNot specified
Typeagent
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=dimensionalshrink

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

Safer Alternatives

ToolTrustStars
MarkItDown4292.8K
Filesystem5089.4K
Time5089.4K
Fetch5089.4K
Sequential Thinking5089.4K

Frequently Asked Questions

What is DimensionalShrink used for?
DimensionalShrink is a AI tool tool. Reduces the dimensionality of massive datasets using PCA while retaining critical variance..
Is DimensionalShrink free?
License: Check project page. DimensionalShrink has 0 GitHub stars.
Is DimensionalShrink safe?
DimensionalShrink has a Nerq Trust Score of 38/100 (E). Evaluate carefully.
What are alternatives to DimensionalShrink?
Top alternatives: MarkItDown, Filesystem, Time. See full comparison.

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

We use cookies for analytics and caching. Privacy Policy