What is expo-vector-icons?

59/100
Trust Score (D)
⚠️ Use Caution

expo-vector-icons is a AI tool that Built-in support for popular icon fonts and the tooling to create your own Icon components from your font and glyph map. This is a wrapper around react-native-vector-icons to make it compatible with E. It has a Nerq Trust Score of 59/100 (D). 0 GitHub stars. Published by brentvatne. Last analyzed May 2026.

Why This Score

Trust & Safety Overview

59
TRUST SCORE
D
GRADE
0
STARS
7.4K
DOWNLOADS

What expo-vector-icons Does

expo-vector-icons is a tool in the AI tool category. Built-in support for popular icon fonts and the tooling to create your own Icon components from your font and glyph map. This is a wrapper around react-native-vector-icons to make it compatible with Expo.. It is published by brentvatne and has no specified license. With 0 GitHub stars and 7.4K downloads, it has a small community of users and contributors.

Who Should Use expo-vector-icons

expo-vector-icons is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.

Details

Authorbrentvatne
CategoryAI tool
LicenseNot specified
Typetool
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=expo-vector-icons

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

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Frequently Asked Questions

What is expo-vector-icons used for?
expo-vector-icons is a AI tool tool. Built-in support for popular icon fonts and the tooling to create your own Icon components from your font and glyph map. This is a wrapper around react-native-vector-icons to make it compatible with E.
Is expo-vector-icons free?
License: Check project page. expo-vector-icons has 0 GitHub stars.
Is expo-vector-icons safe?
expo-vector-icons has a Nerq Trust Score of 59/100 (D). Use with caution.
What are alternatives to expo-vector-icons?
Top alternatives: openclaw, tensorflow, AutoGPT. See full comparison.

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

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