What is It Takes Two?

62/100
Trust Score (C+)
⚠️ Use Caution

It Takes Two is a steam that Embark on the craziest journey of your life in It Takes Two. Invite a friend to join for free with Friend’s Pass and work together across a huge variety of gleefully disruptive gameplay challenges. Wi. It has a Nerq Trust Score of 62/100 (C+). 95 GitHub stars. Published by Hazelight Studios. Last analyzed June 2026.

Why This Score

Trust & Safety Overview

62
TRUST SCORE
C+
GRADE
95
STARS
95
DOWNLOADS

What It Takes Two Does

It Takes Two is a steam in the steam category. Embark on the craziest journey of your life in It Takes Two. Invite a friend to join for free with Friend’s Pass and work together across a huge variety of gleefully disruptive gameplay challenges. Winner of GAME OF THE YEAR at the Game Awards 2021.. It is published by Hazelight Studios and has no specified license. With 95 GitHub stars and 95 downloads, it has a small community of users and contributors.

Who Should Use It Takes Two

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

Details

AuthorHazelight Studios
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=it-takes-two

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

Frequently Asked Questions

What is It Takes Two used for?
It Takes Two is a steam tool. Embark on the craziest journey of your life in It Takes Two. Invite a friend to join for free with Friend’s Pass and work together across a huge variety of gleefully disruptive gameplay challenges. Wi.
Is It Takes Two free?
License: Check project page. It Takes Two has 95 GitHub stars.
Is It Takes Two safe?
It Takes Two has a Nerq Trust Score of 62/100 (C+). Use with caution.
What are alternatives to It Takes Two?
Top alternatives: . See full comparison.

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

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