Software Alternatives & Reviews

Bokeh VS MATLAB

Compare Bokeh VS MATLAB and see what are their differences

Bokeh logo Bokeh

Bokeh visualization library, documentation site.

MATLAB logo MATLAB

A high-level language and interactive environment for numerical computation, visualization, and programming
  • Bokeh Landing page
    Landing page //
    2022-11-01
  • MATLAB Landing page
    Landing page //
    2022-10-30

We recommend LibHunt MATLAB for discovery and comparisons of trending MATLAB projects.

Bokeh videos

"Bokeh" - Netflix Film Review

More videos:

MATLAB videos

Matlab Review Part 1

More videos:

  • Review - The Complete MATLAB Course: Beginner to Advanced!
  • Tutorial - Complete MATLAB Tutorial for Beginners

Category Popularity

0-100% (relative to Bokeh and MATLAB)
Charting Libraries
100 100%
0% 0
Technical Computing
0 0%
100% 100
Data Visualization
20 20%
80% 80
Numerical Computation
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Bokeh and MATLAB

Bokeh Reviews

Top 8 Python Libraries for Data Visualization
Pygal is a Python data visualization library that is made for creating sexy charts! (According to their website!) While Pygal is similar to Plotly or Bokeh in that it creates data visualization charts that can be embedded into web pages and accessed using a web browser, a primary difference is that it can output charts in the form of SVG’s or Scalable Vector Graphics. These...

MATLAB Reviews

25 Best Statistical Analysis Software
MATLAB is an exceptional choice for individuals seeking to perform advanced statistical analysis and data visualization. Its high-level programming environment and comprehensive range of tools enable users to efficiently process, analyze, and visualize their data.
7 Best MATLAB alternatives for Linux
MATLAB is a programming language and numeric computing environment. It is used for solving mathematical problems and displaying the result graphically. MATLAB is a paid tool, they provide a free trial for one month.
15 data science tools to consider using in 2021
Developed and sold by software vendor MathWorks since 1984, Matlab is a high-level programming language and analytics environment for numerical computing, mathematical modeling and data visualization. It's primarily used by conventional engineers and scientists to analyze data, design algorithms and develop embedded systems for wireless communications, industrial control,...
The 16 Best Data Science and Machine Learning Platforms for 2021
Description: MathWorks MATLAB combines a desktop environment tuned for iterative analysis and design processes with a programming language that expresses matrix and array mathematics directly. It includes the Live Editor for creating scripts that combine code, output, and formatted text in an executable notebook. MATLAB toolboxes are professionally developed, tested, and...
Matlab Alternatives
Matrix Laboratory also known as MATLAB is a high-level programming language. It provides an interactive environment to perform computations in various fields such as mathematics, sciences and engineering streams. The results can be visualized and generated as reports for further analysis. Matlab is the pioneer in combining these things. A team of professionals develop the...
Source: www.educba.com

Social recommendations and mentions

Based on our record, Bokeh seems to be more popular. It has been mentiond 5 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Bokeh mentions (5)

  • [OC] Chemical Diversity of The GlobalChem Common Chemical Universe
    Visualization: https://docs.bokeh.org/en/latest/. Source: almost 2 years ago
  • Profiling workflows with the Amazon Genomics CLI
    Now that we can get task timing information in a consistent manner, let’s do some plotting. For this, I’m going to use Bokeh which generates nice interactive plots. - Source: dev.to / about 2 years ago
  • 10 Python Libraries For Data Visualization
    Bokeh The Bokeh library is native to Python and is mainly used to create interactive, web-ready plots, which can be easily output as HTML documents, JSON objects, or interactive web applications. Like ggplot, its concepts are also based on the Grammar of Graphics. It has the added advantage of managing real-time data and streaming. This library can be used for creating common charts such as histograms, bar plots,... - Source: dev.to / over 2 years ago
  • Graphic library Bokeh is underrated and underdocumented
    It's not in the least bit "underrated" and it's documentation is extensive. Source: almost 3 years ago
  • Help with Bokeh Interactive Plot
    Hi guys! I am currently working on a project to enrich my Master thesis with some interactive plots. I have been using the Bokeh library to make a standalone application, which I was then planning to deploy in Heroku. You can find the code in this repository. But I will also add it at the bottom of the post. Source: about 3 years ago

MATLAB mentions (0)

We have not tracked any mentions of MATLAB yet. Tracking of MATLAB recommendations started around Mar 2021.

What are some alternatives?

When comparing Bokeh and MATLAB, you can also consider the following products

Plotly - Low-Code Data Apps

Wolfram Mathematica - Mathematica has characterized the cutting edge in specialized processing—and gave the chief calculation environment to a large number of pioneers, instructors, understudies, and others around the globe.

D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.

GNU Octave - GNU Octave is a programming language for scientific computing.

RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...

Scilab - Scilab Official Website. Enter your search in the box aboveAbout ScilabScilab is free and open source software for numerical . Thanks for downloading Scilab!