seaborn-image VS mplcyberpunk

Compare seaborn-image vs mplcyberpunk and see what are their differences.

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seaborn-image mplcyberpunk
1 3
63 1,599
- -
7.1 4.3
1 day ago 3 months ago
Python Python
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

seaborn-image

Posts with mentions or reviews of seaborn-image. We have used some of these posts to build our list of alternatives and similar projects.
  • Attractive, Effective & Descriptive Image Visualization in Python
    1 project | dev.to | 10 Jan 2021
    Seaborn-image is an open source python visualization library for images built on top of matplotlib. It aims to provide a high level API to visualize image data similar to how seaborn provides high level API to visualize tabular data. As the name suggests, seaborn-image is heavily inspired by the seaborn library.

mplcyberpunk

Posts with mentions or reviews of mplcyberpunk. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-02-16.

What are some alternatives?

When comparing seaborn-image and mplcyberpunk you can also consider the following projects:

yellowbrick - Visual analysis and diagnostic tools to facilitate machine learning model selection.

matplotlib - matplotlib: plotting with Python

itermplot - An awesome iTerm2 backend for Matplotlib, so you can plot directly in your terminal.

reddit-attractiveness-dataset

orange - 🍊 :bar_chart: :bulb: Orange: Interactive data analysis

scientific-visualization-book - An open access book on scientific visualization using python and matplotlib

quantstats - Portfolio analytics for quants, written in Python

dufte - :chart_with_upwards_trend: Minimalistic Matplotlib style

aquarel - Styling matplotlib made easy