Compare GNU Octave and Simulink 
- Users report that Simulink excels in its 3D/solid modeling tools, receiving a score of 8.3, while GNU Octave shines with a remarkable score of 9.5 in the same category, indicating a stronger capability for users focused on advanced modeling.
- Reviewers mention that Simulink's data visualization capabilities are rated at 8.9, which is impressive, but GNU Octave's overall ease of use is rated higher at 8.4, suggesting that users may find Octave more user-friendly for visual data representation.
- G2 users highlight that Simulink has a solid score of 8.4 in continuous event modeling, while GNU Octave falls slightly behind at 7.9, indicating that Simulink may be the better choice for users needing robust continuous modeling features.
- Users on G2 report that Simulink's quality of support is rated at 8.0, which is slightly lower than GNU Octave's 8.2, suggesting that users may find better assistance and resources when using Octave.
- Reviewers mention that Simulink's product direction is rated positively at 8.9, indicating a strong future outlook, while GNU Octave's score of 7.7 suggests that users may have concerns about its ongoing development and support.
- Users say that Simulink's collaboration features are rated at 8.0, which may be a limitation for teams needing extensive collaborative tools, whereas GNU Octave's collaboration score is not specified but is generally perceived as less robust in this area.
Octave is the best utility software which i have used for starting my machine learning.It is very easy to use and it is also very less demanding on cpu so,we can use it with an uninterrupted experience.It is very good for Algorithm development and it is...
Despite the language's well-optimized math functions, everything else just feels a bit too clunky and complicated for a high-level language. For instance, building functions and calling those functions
The options are wide. We can do any physical model be it mechanical, electrical model and simulate it virtually to troubleshoot. This is huge in case of cost cutting.
We have to depend on matlab which is a used to write a code to run a model in simulink
Octave is the best utility software which i have used for starting my machine learning.It is very easy to use and it is also very less demanding on cpu so,we can use it with an uninterrupted experience.It is very good for Algorithm development and it is...
The options are wide. We can do any physical model be it mechanical, electrical model and simulate it virtually to troubleshoot. This is huge in case of cost cutting.
Despite the language's well-optimized math functions, everything else just feels a bit too clunky and complicated for a high-level language. For instance, building functions and calling those functions
We have to depend on matlab which is a used to write a code to run a model in simulink
