Ansys LS-DYNA Ratings (September 2025)
This page breaks down Ansys LS-DYNA 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 Ansys LS-DYNA’s overall reputation. This data-driven overview will show you exactly how Ansys LS-DYNA is rated - including how it compares to competitors.
Ansys LS-DYNA's Overall Rating Summary
- Average Rating:4.5/5
- Total Reviews:45 reviews
- Sources:G2
- Last updated:September 1, 2025
Ansys LS-DYNA Ratings by Source
| Platform | Rating | Reviews | Last Update |
|---|---|---|---|
 G2 | 4.5/5 | 45+ reviews | 01.09.25 |
What is Ansys LS-DYNA?
Ansys LS-DYNA is the industry-leading explicit simulation software used for applications like drop tests, impact and penetration, smashes and crashes, and occupant safety. It is capable of simulating the response of materials to short periods of severe loading with many elements, contact formulations, material models, and other controls to simulate complex models. Key features include implicit and explicit solvers, frequency domain analysis, electromagnetics solver, multiphysics solver, particle methods, adaptive remeshing, and advanced CAE capabilities.
🤔 Ansys LS-DYNA vs Competitors: How Do Ratings Compare?
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How trustworthy is Ansys LS-DYNA?
According to G2 review site Ansys LS-DYNA holds rating of 4.5/5, indicating that users consistently find value and reliability in the platform as of September 2025.
How many stars is Ansys LS-DYNA rated?
Ansys LS-DYNA has an average star rating of 4.5 out of 5 stars based on average of 45 reviews as of September 2025.
Where does the rating data come from?
The ratings are pulled from Ansys LS-DYNA public reviews pages on platforms: G2. We update these ratings monthly to ensure they reflect the most current customer feedback.
How overall average rating for Ansys LS-DYNA 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.