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KAlgebra VS Matplotlib

Compare KAlgebra VS Matplotlib and see what are their differences

KAlgebra logo KAlgebra

KAlgebra is an application that can replace your graphing calculator.

Matplotlib logo Matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...
  • KAlgebra Landing page
    Landing page //
    2022-04-15
  • Matplotlib Landing page
    Landing page //
    2023-06-14

KAlgebra videos

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Matplotlib videos

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Category Popularity

0-100% (relative to KAlgebra and Matplotlib)
Technical Computing
4 4%
96% 96
Numerical Computation
100 100%
0% 0
Data Science And Machine Learning
Data Visualization
8 8%
92% 92

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Reviews

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

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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.
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.
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.
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...

Social recommendations and mentions

Based on our record, Matplotlib seems to be more popular. It has been mentiond 100 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.

KAlgebra mentions (0)

We have not tracked any mentions of KAlgebra yet. Tracking of KAlgebra recommendations started around Jan 2022.

Matplotlib mentions (100)

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What are some alternatives?

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

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.

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

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

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

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.

GeoGebra - GeoGebra is free and multi-platform dynamic mathematics software for learning and teaching.