May 04, 2020
MATLAB offers built-in and third-party packages to analyze any type of data, while excelling at neuro-physiological data processing
Score 10 out of 10
Read Ryan McGarry's full review
Pros and Cons
- Neurophysiological algorithm development, as there are numerous built-in and pre-existing third-party packages to capture data from neuro devices and process it.
- MATLAB is very useful for data analytics, as there are built-in packages to provide out-of-the-box data solutions.
- Code versioning is integrated in MATLAB so that it can easily connect to Bitbucket/Git repositories if you have multiple developers or data scientists working on a single codebase.
- MATLAB can be bulky, requiring a lot of time to install and open.
- Fewer scientists and developers use MATLAB compared to Python these days, making it more difficult to grow a team for a project with the core language written in MATLAB.
- There are fewer third-party packages for MATLAB compared to Python and other programming languages.
- While programs written in MATLAB are highly capable of performing almost any task, it can often be a tricky or "hacky" process to accomplish different tasks that other languages are better suited to do.