What is UNO!™?

59/100
Trust Score (C)
⚠️ Use Caution

UNO!™ is a ios that UNO!™ is now mobile! Take the classic card game from the kitchen table anywhere! Now with new rules, world series tournaments, modes of play, and much more. Whether you’re at home, on the go, an UNO!™. It has a Nerq Trust Score of 59/100 (C). 93 GitHub stars. Published by Mattel163 Limited. Last analyzed June 2026.

Why This Score

Trust & Safety Overview

59
TRUST SCORE
C
GRADE
93
STARS
93
DOWNLOADS

What UNO!™ Does

UNO!™ is a ios in the ios category. UNO!™ is now mobile! Take the classic card game from the kitchen table anywhere! Now with new rules, world series tournaments, modes of play, and much more. Whether you’re at home, on the go, an UNO!™ veteran or completely new, UNO!™ has something for everyone in the family. UNO!™ is a fun and memorable family-friendly card game wherever and whenever. Ready. Set. UNO!™ - Play the classic card gam. It is published by Mattel163 Limited and has no specified license. With 93 GitHub stars and 93 downloads, it has a small community of users and contributors.

Who Should Use UNO!™

UNO!™ is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.

Details

AuthorMattel163 Limited
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=uno

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

Frequently Asked Questions

What is UNO!™ used for?
UNO!™ is a ios tool. UNO!™ is now mobile! Take the classic card game from the kitchen table anywhere! Now with new rules, world series tournaments, modes of play, and much more. Whether you’re at home, on the go, an UNO!™.
Is UNO!™ free?
License: Check project page. UNO!™ has 93 GitHub stars.
Is UNO!™ safe?
UNO!™ has a Nerq Trust Score of 59/100 (C). Use with caution.
What are alternatives to UNO!™?
Top alternatives: . See full comparison.

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

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