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Pygal

Pygal is a Python charting library that allows you to generate SVG charts from data. Some key features include support for various chart types like bar charts, pie charts, line charts etc., customizable styles and themes, and integration with major Python web frameworks.
Pygal alternatives ➤

What is Pygal?

Pygal is an open-source Python charting library that provides tools to build interactive SVG charts and graphs from data. Some of the key features and capabilities of Pygal include:

  • Support for various common chart types including bar charts, pie charts, line charts, xy charts, radar charts, box plots, dot plots etc.
  • Highly customizable - colors, styles, themes, legend, tooltips and more can be customized
  • Responsive SVG output that works well on all modern browsers and devices
  • Integration with major Python web frameworks like Django and Flask
  • Support for large and streaming datasets
  • Client-side interactivity powered by SVG features
  • Extensible architecture to create custom chart types
  • Ability to export charts as PNG images

Overall, Pygal stands out as a lightweight yet powerful data visualization library for Python developers. With its wide array of chart types, customization options and framework integrations, Pygal makes it easy to add interactive and modern-looking charts and graphs to Python web applications.

Official Links

Official Website
pygal.org

The Best Pygal Alternatives

Top Apps like Pygal

GnuPlot, Plotly, python(x,y), Matplotlib are some alternatives to Pygal.
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GnuPlot

GnuPlot is a powerful, stable and free scientific graphing package with advanced capabilities. Developed originally for Unix-like operating systems, GnuPlot is now available for Windows, macOS and Linux.It can produce high-quality graphical visualizations of data from files or stdin, including simple x-y plots, histograms, contour plots, mesh plots, polar...

Plotly

Plotly is an open-source graphing library that allows users to create interactive, publication-quality graphs, charts, and dashboards. It supports Python, R, JavaScript, and Excel as programming languages. Some key features of Plotly include:Interactive visualization - Plotly charts are interactive with features like hover text, zooming, panning, selectable legends, and...

Python(x,y)

python(x,y) is an open-source mathematical plotting and data visualization library for the Python programming language. It is designed to be simple, efficient, and highly customizable. python(x,y) provides a MATLAB-like interface for creating a wide range of 2D plots, including line plots, scatter plots, histograms, bar charts...

Matplotlib

Matplotlib is a comprehensive 2D plotting library for Python that enables users to create a wide variety of publication-quality graphs, charts, and visualizations. It supports many basic and advanced plotting functionalities and integrates well with NumPy and Pandas data structures.Matplotlib can be used to visualize data in a variety...