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

Carbon
Ray.so
CodeImage
Codeimg.io
Karbonized
Codesnip
Codify
snappify is a great tool to create and adjust beautiful code snippets easily.

Which is more popular?
Based on our record, Matplotlib seems to be a lot more popular than Snappify. While we know about 114 links to Matplotlib, we've tracked only 8 mentions of Snappify.
Website, pricing, platforms and company facts side by side.
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| Website | matplotlib.org | snappify.com |
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What each product offers, as listed by its team.


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Recommended for
No analysis of Snappify 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
So for all these coding snippets I share on X, I used to use Snappify, which is the one I'm most familiar with, allowing me to add many elements, such as text, arrows, and so on! - Source: dev.to / 8 months ago
Snappify - Enables developers to create stunning visuals. From beautiful code snippets to fully fletched technical presentations. The free plan includes up to 3 snaps at once with unlimited downloads and 5 AI-powered code explanations... - Source: dev.to / over 2 years ago
If I were at your position I'd create something like: https://snappify.com/. Source: over 3 years ago
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NumPy is the fundamental package for scientific computing with Python
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Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.
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A tool for manage and beautify your code screenshots
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