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  5. MATLAB vs Material Design for Bootstrap

MATLAB vs Material Design for Bootstrap

OverviewComparisonAlternatives

Overview

MATLAB
MATLAB
Stacks1.1K
Followers702
Votes37
Material Design for Bootstrap
Material Design for Bootstrap
Stacks78
Followers206
Votes46
GitHub Stars65
Forks42

Material Design for Bootstrap vs MATLAB: What are the differences?

Developers describe Material Design for Bootstrap as "Material Design for Bootstrap". This Bootstrap theme is an easy way to use the new Material Design guidelines by Google in your Bootstrap 3 based application. Just include the theme right after the Bootstrap CSS and include the javascript at the end of your document, everything will be converted to Material Design (paper) style. On the other hand, MATLAB is detailed as "A high-level language and interactive environment for numerical computation, visualization, and programming". Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or traditional programming languages, such as C/C++ or Java.

Material Design for Bootstrap and MATLAB are primarily classified as "Front-End Frameworks" and "Languages" tools respectively.

"Bootstrap" is the primary reason why developers consider Material Design for Bootstrap over the competitors, whereas "Simulink" was stated as the key factor in picking MATLAB.

Material Design for Bootstrap is an open source tool with 19.9K GitHub stars and 3.31K GitHub forks. Here's a link to Material Design for Bootstrap's open source repository on GitHub.

Empatica, Wham City Lights, and Walter are some of the popular companies that use MATLAB, whereas Material Design for Bootstrap is used by MXD3D, Itbid, and TypeLead. MATLAB has a broader approval, being mentioned in 12 company stacks & 23 developers stacks; compared to Material Design for Bootstrap, which is listed in 5 company stacks and 6 developer stacks.

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Detailed Comparison

MATLAB
MATLAB
Material Design for Bootstrap
Material Design for Bootstrap

Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or traditional programming languages, such as C/C++ or Java.

It is an open source toolkit based on Bootstrap for developing Material Design apps with HTML, CSS, and JS. Quickly prototype your ideas or build your entire app with our Sass variables and mixins, responsive grid system, extensive prebuilt components, and powerful plugins built on jQuery.

-
Input fields; Textarea; Buttons (ripple effect working); Select; Navbar; Button groups; Input groups; Checkbox; Radio; Alerts; Progress bars; Jumbotron; Wells; Dialogs; Lists
Statistics
GitHub Stars
-
GitHub Stars
65
GitHub Forks
-
GitHub Forks
42
Stacks
1.1K
Stacks
78
Followers
702
Followers
206
Votes
37
Votes
46
Pros & Cons
Pros
  • 20
    Simulink
  • 5
    Model based software development
  • 5
    Functions, statements, plots, directory navigation easy
  • 3
    S-Functions
  • 2
    REPL
Cons
  • 2
    Does not support named function arguments
  • 2
    Doesn't allow unpacking tuples/arguments lists with *
  • 2
    Parameter-value pairs syntax to pass arguments clunky
  • 1
    Costs a lot
Pros
  • 16
    Bootstrap
  • 6
    Light weight
  • 6
    Awesome and simple to use
  • 4
    Modern Looks
  • 4
    Google Material Design
Cons
  • 2
    Not free for premo stuff

What are some alternatives to MATLAB, Material Design for Bootstrap?

JavaScript

JavaScript

JavaScript is most known as the scripting language for Web pages, but used in many non-browser environments as well such as node.js or Apache CouchDB. It is a prototype-based, multi-paradigm scripting language that is dynamic,and supports object-oriented, imperative, and functional programming styles.

Bootstrap

Bootstrap

Bootstrap is the most popular HTML, CSS, and JS framework for developing responsive, mobile first projects on the web.

Python

Python

Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for its elegant syntax and readable code, if you are just beginning your programming career python suits you best.

PHP

PHP

Fast, flexible and pragmatic, PHP powers everything from your blog to the most popular websites in the world.

Ruby

Ruby

Ruby is a language of careful balance. Its creator, Yukihiro “Matz” Matsumoto, blended parts of his favorite languages (Perl, Smalltalk, Eiffel, Ada, and Lisp) to form a new language that balanced functional programming with imperative programming.

Java

Java

Java is a programming language and computing platform first released by Sun Microsystems in 1995. There are lots of applications and websites that will not work unless you have Java installed, and more are created every day. Java is fast, secure, and reliable. From laptops to datacenters, game consoles to scientific supercomputers, cell phones to the Internet, Java is everywhere!

Golang

Golang

Go is expressive, concise, clean, and efficient. Its concurrency mechanisms make it easy to write programs that get the most out of multicore and networked machines, while its novel type system enables flexible and modular program construction. Go compiles quickly to machine code yet has the convenience of garbage collection and the power of run-time reflection. It's a fast, statically typed, compiled language that feels like a dynamically typed, interpreted language.

HTML5

HTML5

HTML5 is a core technology markup language of the Internet used for structuring and presenting content for the World Wide Web. As of October 2014 this is the final and complete fifth revision of the HTML standard of the World Wide Web Consortium (W3C). The previous version, HTML 4, was standardised in 1997.

C#

C#

C# (pronounced "See Sharp") is a simple, modern, object-oriented, and type-safe programming language. C# has its roots in the C family of languages and will be immediately familiar to C, C++, Java, and JavaScript programmers.

Scala

Scala

Scala is an acronym for “Scalable Language”. This means that Scala grows with you. You can play with it by typing one-line expressions and observing the results. But you can also rely on it for large mission critical systems, as many companies, including Twitter, LinkedIn, or Intel do. To some, Scala feels like a scripting language. Its syntax is concise and low ceremony; its types get out of the way because the compiler can infer them.

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