seaborn-image VS yellowbrick

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

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seaborn-image yellowbrick
1 2
63 4,198
- 0.3%
7.1 2.8
3 days ago 9 months ago
Python Python
MIT License Apache License 2.0
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.

yellowbrick

Posts with mentions or reviews of yellowbrick. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-28.

What are some alternatives?

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

mplcyberpunk - "Cyberpunk style" for matplotlib plots

kmodes - Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data

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

Anaconda - Anaconda turns your Sublime Text 3 in a full featured Python development IDE including autocompletion, code linting, IDE features, autopep8 formating, McCabe complexity checker Vagrant and Docker support for Sublime Text 3 using Jedi, PyFlakes, pep8, MyPy, PyLint, pep257 and McCabe that will never freeze your Sublime Text 3

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

fpdf2 - Simple PDF generation for Python

scikit-survival - Survival analysis built on top of scikit-learn

sports-betting - Collection of sports betting AI tools.

dagster-sklearn - dagster scikit-learn pipeline example.

qmplot - A Python package for creating high-quality manhattan and Q-Q plots from GWAS results.

raiven - A framework for the translation of AI tools to the radiology environment