What is H&M?

59/100
Trust Score (C)
⚠️ Use Caution

H&M is a ios that Explore the latest styles in fashion, home and beauty with the H&M app. Discover inspiring collections and intuitive features that simplify the shopping experience — from instant search to real-time o. It has a Nerq Trust Score of 59/100 (C). 96 GitHub stars. Published by H & M Hennes & Mauritz AB. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

59
TRUST SCORE
C
GRADE
96
STARS
96
DOWNLOADS

What H&M Does

H&M is a ios in the ios category. Explore the latest styles in fashion, home and beauty with the H&M app. Discover inspiring collections and intuitive features that simplify the shopping experience — from instant search to real-time order updates. Features: Instant search: Quickly find any item with smarter results. Visual discovery: Snap or upload images for style suggestions. Save favourites: Build wishlists to shop and curate. It is published by H & M Hennes & Mauritz AB and has no specified license. With 96 GitHub stars and 96 downloads, it has a small community of users and contributors.

Who Should Use H&M

H&M is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.

Details

AuthorH & M Hennes & Mauritz AB
Categoryios
LicenseNot specified
Typeios
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=h-m

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

Frequently Asked Questions

What is H&M used for?
H&M is a ios tool. Explore the latest styles in fashion, home and beauty with the H&M app. Discover inspiring collections and intuitive features that simplify the shopping experience — from instant search to real-time o.
Is H&M free?
License: Check project page. H&M has 96 GitHub stars.
Is H&M safe?
H&M has a Nerq Trust Score of 59/100 (C). Use with caution.
What are alternatives to H&M?
Top alternatives: . See full comparison.

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

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