GRANTA EduPack Ratings (September 2025)
This page breaks down GRANTA EduPack 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 GRANTA EduPack’s overall reputation. This data-driven overview will show you exactly how GRANTA EduPack is rated - including how it compares to competitors.
GRANTA EduPack's Overall Rating Summary
- Average Rating:4.5/5
- Total Reviews:15 reviews
- Sources:G2
- Last updated:September 1, 2025
GRANTA EduPack Ratings by Source
Platform | Rating | Reviews | Last Update |
---|---|---|---|
![]() | 4.5/5 | 15+ reviews | 01.09.25 |
What is GRANTA EduPack?
Ansys Granta EduPack is a comprehensive teaching resource designed to enhance materials education across engineering, design, science, and sustainable development courses. It includes a database of materials and process information, materials selection tools, and a range of supporting resources, divided into three levels to suit different stages of student learning. Key features include powerful visualization and selection tools, interactive projects, and advanced data for capstone projects.
🤔 GRANTA EduPack vs Competitors: How Do Ratings Compare?
Check out GRANTA EduPack AlternativesFrequently Asked Questions
How trustworthy is GRANTA EduPack?
According to G2 review site GRANTA EduPack 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 GRANTA EduPack rated?
GRANTA EduPack has an average star rating of 4.5 out of 5 stars based on average of 15 reviews as of September 2025.
Where does the rating data come from?
The ratings are pulled from GRANTA EduPack 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 GRANTA EduPack 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.