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 editing tools are rated at 8.8, which is higher than GNU Octave's score of 8.2, suggesting that users find Simulink's editing features more robust and user-friendly for their design needs.
- G2 users highlight that Simulink's data visualization capabilities score 8.9, showcasing its strength in presenting complex data effectively, whereas GNU Octave does not have a comparable feature, which may limit its appeal for users prioritizing data presentation.
- Users on G2 indicate that Simulink's continuous event modeling is rated at 8.4, outperforming GNU Octave's score of 7.9, suggesting that Simulink may be better suited for users needing reliable continuous event simulations.
- Reviewers say that GNU Octave's hardware support is rated at 8.7, which is higher than Simulink's 7.8, indicating that users may find GNU Octave more compatible with a wider range of hardware setups.
- Users report that Simulink's quality of support is rated at 8.0, while GNU Octave's support is slightly better at 8.2, suggesting that users may experience more responsive assistance with GNU Octave when encountering issues.
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...
Less functionality than Matlab. GNUplots aren;t that pretty. Lot of bugs as compared to Matlab. Less inbuilt functions.
1- Best-in-class environment to do all the analytics using block diagrams. 2- Visualization, user experience, and tool handling. 3- Another way to develop and simulate your Matlab designs is to develop systems using block diagrams in simulink. 4- More easy...
Not a lot of learning resources available
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...
1- Best-in-class environment to do all the analytics using block diagrams. 2- Visualization, user experience, and tool handling. 3- Another way to develop and simulate your Matlab designs is to develop systems using block diagrams in simulink. 4- More easy...
Less functionality than Matlab. GNUplots aren;t that pretty. Lot of bugs as compared to Matlab. Less inbuilt functions.
Not a lot of learning resources available
