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Wolfram Mathematica VS Matplotlib

Compare Wolfram Mathematica VS Matplotlib and see what are their differences

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Wolfram Mathematica logo 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.

Matplotlib logo Matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...
  • Wolfram Mathematica Landing page
    Landing page //
    2022-08-07
  • Matplotlib Landing page
    Landing page //
    2023-06-14

Wolfram Mathematica videos

+ Add

Introduction to Wolfram Notebooks

Matplotlib videos

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Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Category Popularity

0-100% (relative to Wolfram Mathematica and Matplotlib)

Wolfram Mathematica

Matplotlib

Technical Computing
69 69%
Technical Computing
31% 31
Numerical Computation
100 100%
Numerical Computation
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
3D
100 100%
3D
0% 0

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Wolfram Mathematica and Matplotlib

Wolfram Mathematica Reviews

10 Best MATLAB Alternatives [For Beginners and Professionals]
Wolfram Mathematica is packed with features that make your computations super-easy. Mathematica can handle any visualizations or plot with ease.
Source: thetechtop10.com
6 MATLAB Alternatives You Could Use
Deveoped by Wolfram Research, the pioneers of computational software, Mathematica comes with a truckload of features for all your mathematical computational needs. The latest version boasts over 700 new functions, as well as multiple function libraries and geo visualization/animation tools. And that’s just the tip of the iceberg. From 2D/3D image processing to enhanced...
Source: beebom.com

Matplotlib Reviews

25 Python Frameworks to Master
Matplotlib is a widely used tool for data visualization in Python. It provides an object-oriented API for embedding plots into applications.
Source: kinsta.com
5 Best Python Libraries For Data Visualization in 2023
You can use this library for multiple purposes such as generating plots, bar charts, histograms, power spectra, stemplots, pie charts, and more. The best thing about Matplotlib is you just have to write a few lines of code and it handles the rest by itself. Metaplotilib focuses on static images for publication along with interactive figures using toolkits like Qt and GTK.
Source: www.technotification.com
15 data science tools to consider using in 2021
Matplotlib is an open source Python plotting library that's used to read, import and visualize data in analytics applications. Data scientists and other users can create static, animated and interactive data visualizations with Matplotlib, using it in Python scripts, the Python and IPython shells, Jupyter Notebook, web application servers and various GUI toolkits.
Source: searchbusinessanalytics.techtarget.com
Top Python Libraries For Image Processing In 2021
Matplotlib is primarily used for 2D visualizations such as scatter plots, bar graphs, histograms, and many more, but we can also use it for image processing. It is effective to get information out of an image. It doesn’t support all file formats.
Source: www.analyticsvidhya.com
Top 8 Python Libraries for Data Visualization
Matplotlib is a data visualization library and 2-D plotting library of Python It was initially released in 2003 and it is the most popular and widely-used plotting library in the Python community. It comes with an interactive environment across multiple platforms. Matplotlib can be used in Python scripts, the Python and IPython shells, the Jupyter notebook, web application...
Source: www.geeksforgeeks.org

Social recommendations and mentions

Based on our record, Matplotlib seems to be more popular. It has been mentiond 98 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.

Wolfram Mathematica mentions (0)

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

Matplotlib mentions (98)

  • Implementing semantic image search with Amazon Titan and Supabase Vector
    Matplotlib: for displaying our image result. - Source: dev.to / 18 days ago
  • Releasing The Force Of Machine Learning: A Novice’s Guide 😃
    Matplotlib: Acomprehensive library for creating static, animated, and interactive visualizations in Python. - Source: dev.to / 2 months ago
  • How to retrieve and analyze crypto order book data using Python and a cryptocurrency API
    Data visualization: utilizing Python's Matplotlib for visualizing order book information. - Source: dev.to / 5 months ago
  • Ask HN: What plotting tools should I invest in learning?
    For random, quick and dirty, ad-hoc plotting tasks my default is GNUPlot[1]. Otherwise I tend to use either Python with matplotlib, or R with ggplot2. I keep saying I'm going to invest the time to properly learn D3[4] or something similar for doing web-based plotting, but somehow never quite seem to find time to do it. sigh [1]: http://www.gnuplot.info/ [2]: https://matplotlib.org/ [3]:... - Source: Hacker News / 9 months ago
  • PSA: You don't need fancy stuff to do good work.
    Python's pandas, NumPy, and SciPy libraries offer powerful functionality for data manipulation, while matplotlib, seaborn, and plotly provide versatile tools for creating visualizations. Similarly, in R, you can use dplyr, tidyverse, and data.table for data manipulation, and ggplot2, lattice, and shiny for visualization. These packages enable you to create insightful visualizations and perform statistical analyses... Source: 12 months ago
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What are some alternatives?

When comparing Wolfram Mathematica and Matplotlib, you can also consider the following products

MATLAB - A high-level language and interactive environment for numerical computation, visualization, and programming

GnuPlot - Gnuplot is a portable command-line driven interactive data and function plotting utility.

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

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

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

Plotly - Low-Code Data Apps

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