scikit-plot

What it is

Scikit-plot is a visualization library that provides easy-to-use functions to generate common plots used in machine learning and data analysis, complementing the functionality of scikit-learn.

Scikit-plot offers a straightforward way to visualize scikit-learn models and data analysis results, making it an ideal complement for users who want quick visual insights without diving deep into complex plotting libraries like Matplotlib.

When it fits — and when it doesn’t

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

1. 01

   Limited customization options for advanced users

   The library provides a set of predefined plots which may not be sufficient for complex or highly customized visualizations.

2. 02

   Dependence on matplotlib and scikit-learn versions

   scikit-plot relies heavily on specific versions of matplotlib and scikit-learn, leading to potential compatibility issues if these dependencies are not up-to-date.

3. 03

   Small community and limited third-party contributions

   The library has a relatively small user base and fewer contributors compared to more popular visualization libraries like matplotlib or seaborn, which can lead to slower development of new features and bug fixes.

4. 04

   Documentation lacks depth for complex use cases

   The documentation primarily covers basic usage examples but falls short in providing comprehensive guides for more advanced scenarios or troubleshooting common issues.

What it does well

• Easy-to-use functions for generating common plots in machine learning.

• Complements scikit-learn with additional visualization capabilities.

• Simplifies the process of visualizing model performance and data distributions.

Pricing

Free tier

YesOpen source — free to use

Paid from

$0

Model

Flat rate

Enterprise plan

No

Pricing not independently confirmed — check the vendor’s page.