What is Deitrus?

56/100
Trust Score (C)
⚠️ Use Caution

Deitrus is a steam that Conquer complex and comical fast-paced grid-based combat as Wren and Chloe, an unlikely duo about to discover just how much they don't know about the world of Deitrus. An Hour Long Action RPG with a N. It has a Nerq Trust Score of 56/100 (C). 100 GitHub stars. Published by Team Azule, Lucas Immanuel, Stickle, Max Kearney. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

56
TRUST SCORE
C
GRADE
100
STARS
100
DOWNLOADS

What Deitrus Does

Deitrus is a steam in the steam category. Conquer complex and comical fast-paced grid-based combat as Wren and Chloe, an unlikely duo about to discover just how much they don't know about the world of Deitrus. An Hour Long Action RPG with a Non-Linear Narrative.. It is published by Team Azule, Lucas Immanuel, Stickle, Max Kearney and has no specified license. With 100 GitHub stars and 100 downloads, it has a small community of users and contributors.

Who Should Use Deitrus

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

Details

AuthorTeam Azule, Lucas Immanuel, Stickle, Max Kearney
Categorysteam
LicenseNot specified
Typesteam
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=deitrus

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

Frequently Asked Questions

What is Deitrus used for?
Deitrus is a steam tool. Conquer complex and comical fast-paced grid-based combat as Wren and Chloe, an unlikely duo about to discover just how much they don't know about the world of Deitrus. An Hour Long Action RPG with a N.
Is Deitrus free?
License: Check project page. Deitrus has 100 GitHub stars.
Is Deitrus safe?
Deitrus has a Nerq Trust Score of 56/100 (C). Use with caution.
What are alternatives to Deitrus?
Top alternatives: . See full comparison.

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

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