Users report that Mathematica excels in 3D/solid modeling tools with a score of 8.5, while Scilab falls short with a score of 5.7, making Mathematica a better choice for users needing advanced modeling capabilities.
Reviewers mention that Mathematica's data visualization capabilities score 8.3, which is a strong point, whereas Scilab does not have a specific score listed, indicating a potential gap in this area for Scilab users.
G2 users highlight that Mathematica's manufacturing process simulation is rated exceptionally high at 9.4, suggesting it is a robust tool for users in manufacturing, while Scilab's score of 7.1 indicates it may not meet the same level of user expectations.
Users on G2 report that Scilab shines in multibody dynamics with a score of 8.0, which is slightly better than Mathematica's score of 7.9, making it a preferable option for users focused on this specific analysis.
Reviewers say that Mathematica's ease of use is rated at 7.3, which is lower than Scilab's 8.8, indicating that Scilab may provide a more user-friendly experience for new users or those less familiar with complex software.
Users report that Mathematica's quality of support is rated at 7.9, while Scilab's is slightly higher at 8.2, suggesting that Scilab may offer better customer service and support resources for its users.
Pricing
Entry-Level Pricing
Mathematica
No pricing available
Scilab
No pricing available
Free Trial
Mathematica
No trial information available
Scilab
No trial information available
Ratings
Meets Requirements
8.4
78
9.0
42
Ease of Use
7.3
80
8.8
42
Ease of Setup
Not enough data
Not enough data
Ease of Admin
Not enough data
Not enough data
Quality of Support
7.9
76
8.2
35
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