matplotlib

What it is

Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. It is widely used by developers and researchers to visualize complex datasets with ease.

Matplotlib stands out for its extensive customization options and wide range of plot types, making it a versatile choice for both simple and complex data visualization tasks in Python.

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

   Steep learning curve for complex visualizations

   Extensive customization options require deep understanding of the library's object-oriented and pyplot interfaces.

2. 02

   Performance issues with large datasets

   Rendering plots with very large datasets can be slow and may cause memory usage spikes, impacting real-time visualization capabilities.

3. 03

   Limited interactivity out-of-the-box

   While capable of creating interactive visualizations, it requires additional configuration or integration with other libraries like mpld3 or Plotly to achieve full interactivity.

4. 04

   Verbosity in code for complex plots

   Creating intricate and highly customized plots often involves writing lengthy and repetitive code, which can be cumbersome and error-prone.

What it does well

• Wide range of plot types including line, bar, scatter, and histogram plots.

• Highly customizable with extensive control over every aspect of a figure.

• Support for both object-oriented and pyplot interfaces.

• Integration with other Python libraries like NumPy and Pandas.

• Exporting figures in multiple formats such as PNG, PDF, SVG.

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.