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Adobe Illustrator CC VS Matplotlib

Compare Adobe Illustrator CC VS Matplotlib and see what are their differences

Adobe Illustrator CC logo Adobe Illustrator CC

Adobe Illustrator CC is a commercial vector graphics editor.

Matplotlib logo Matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...
  • Adobe Illustrator CC Landing page
    Landing page //
    2022-01-14
  • Matplotlib Landing page
    Landing page //
    2023-06-14

Adobe Illustrator CC videos

Adobe Illustrator CC 2019 NEW Features!

More videos:

  • Review - Adobe Illustrator CC 2019 NEW FEATURES (AWESOME)

Matplotlib videos

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Category Popularity

0-100% (relative to Adobe Illustrator CC and Matplotlib)
Graphic Design Software
100 100%
0% 0
Technical Computing
0 0%
100% 100
Digital Drawing And Painting
Data Science And Machine Learning

User comments

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Reviews

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

Adobe Illustrator CC Reviews

We have no reviews of Adobe Illustrator CC yet.
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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 99 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.

Adobe Illustrator CC mentions (0)

We have not tracked any mentions of Adobe Illustrator CC yet. Tracking of Adobe Illustrator CC recommendations started around Mar 2021.

Matplotlib mentions (99)

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What are some alternatives?

When comparing Adobe Illustrator CC and Matplotlib, you can also consider the following products

Inkscape - Inkscape is a free, open source professional vector graphics editor for Windows, Mac OS X and Linux.

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

Sketch - Professional digital design for Mac.

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

Affinity Designer - Professional creative software, exclusively for Mac.

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.