This page breaks down OpenSpace3D ratings from all verified review sources to give you a clear, unbiased view of what real users think in September 2025.
We’ve aggregated the latest scores from all major platforms like Trustpilot, G2, Capterra and many more to help you understand OpenSpace3D’s overall reputation. This data-driven overview will show you exactly how OpenSpace3D is rated - including how it compares to competitors.

OpenSpace3D's Overall Rating Summary

  • Average Rating:4.8/5
  • Total Reviews:21 reviews
  • Sources:G2, Capterra, Trustradius
  • Last updated:September 1, 2025

OpenSpace3D Ratings by Source

PlatformRatingReviewsLast Update
G2 logoG2
4.6/5
11+ reviews01.09.25
Capterra logoCapterra
0/5
0+ reviews14.08.24
Trustradius logoTrustradius
5/5
10+ reviews07.03.25

What is OpenSpace3D?

OpenSpace3D is a free and open-source platform designed for creating virtual reality, augmented reality applications, or games without requiring development skills. It features a comprehensive scene editor supporting over 40 file formats, a visual programming system called plugITs, and a complete 3D model library. The platform supports major devices like HTC Vive, Oculus, Google Cardboard, Leap Motion, Myo, Tobii eyeX, and 3dRudder.

🤔 OpenSpace3D vs Competitors: How Do Ratings Compare?

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Frequently Asked Questions

How trustworthy is OpenSpace3D?

According to Trustradius and G2 review sites OpenSpace3D holds ratings of 5/5 and 4.6/5 respectively from 21 reviews, highlights excellent reputation and user approval as of September 2025.

How many stars is OpenSpace3D rated?

OpenSpace3D has an average star rating of 4.8 out of 5 stars based on average of 21 reviews as of September 2025.

Where does the rating data come from?

The ratings are pulled from OpenSpace3D public reviews pages on platforms: G2, Capterra, Trustradius. We update these ratings monthly to ensure they reflect the most current customer feedback.

How overall average rating for OpenSpace3D is calculated?

The overall average rating is calculated by taking the weighted average of all ratings, using the total reviews count from each platform as the weight.