
Pandas
NumPy
Seaborn
D3.js
Plotly
GnuPlot
Jupyter
matplotlib is a python 2D plotting library which produces publication quality figures in a variety...

Refined GitHub
GitZip
GitHub Hovercard
Board for Github
GitHub Folder Downloader
DownGit
Octo Mate
:rocket: Chrome extension to display size of each file, download link and copy file contents directly to clipboard - softvar/enhanced-github
Which is more popular?
Based on our record, Matplotlib seems to be more popular. It has been mentioned 114 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | matplotlib.org | github.com |
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What each product offers, as listed by its team.


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Recommended for
No analysis of Enhanced GitHub yet.
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Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial
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External articles and on-site reviews we used to compare the two products.


Matplotlib is a widely used tool for data visualization in Python. It provides an object-oriented API for embedding plots into applications.
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...
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...
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Recommendations tracked on public social media and blogs since March 2021.


In February, an AI agent named MJ Rathbun submitted a pull request to matplotlib — the Python plotting library used by half the scientific computing world. Scott Shambaugh, a volunteer maintainer, rejected it. Standard code review.... - Source: dev.to / 7 months ago
Numbers are useful, but sometimes it’s easier to spot patterns when you can actually see your data. Pandas works seamlessly with Matplotlib, a popular Python library for creating visualizations. Together, they make it easy to turn raw... - Source: dev.to / 10 months ago
We are storing the results in JSON files, which we combine, analyze and visualize using matplotlib in Python. Here's the structure of a benchmark result file:. - Source: dev.to / 11 months ago
Tracking Enhanced GitHub since Mar 2021.
When comparing Matplotlib and Enhanced GitHub, you can also consider the following products.

Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
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Browser extension that makes GitHub cleaner & more powerful
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NumPy is the fundamental package for scientific computing with Python
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Download or create a download link for a GitHub project folder/sub-folder or file.
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Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.
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GitHub Hovercard provides neat hovercards for GitHub.
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