Audience
Developers looking for a Python library for creating static, animated, & interactive visualizations
About Matplotlib
Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. Matplotlib makes easy things easy and hard things possible. A large number of third party packages extend and build on Matplotlib functionality, including several higher-level plotting interfaces (seaborn, HoloViews, ggplot, ...), and a projection and mapping toolkit (Cartopy).
Other Popular Alternatives & Related Software
ggplot2
ggplot2 is a system for declaratively creating graphics, based on The Grammar of Graphics. You provide the data, tell ggplot2 how to map variables to aesthetics, what graphical primitives to use, and it takes care of the details. ggplot2 is now over 10 years old and is used by hundreds of thousands of people to make millions of plots. That means, by-and-large, ggplot2 itself changes relatively little. When we do make changes, they will be generally to add new functions or arguments rather than changing the behavior of existing functions, and if we do make changes to existing behavior we will do them for compelling reasons. If you are new to ggplot2 you are better off starting with a systematic introduction, rather than trying to learn from reading individual documentation pages.
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Vega-Altair
The Vega-Altair open-source project is not affiliated with Altair Engineering, Inc. With Vega-Altair, you can spend more time understanding your data and its meaning. Altair’s API is simple, friendly and consistent and built on top of the powerful Vega-Lite visualization grammar. This elegant simplicity produces beautiful and effective visualizations with a minimal amount of code. The key idea is that you are declaring links between data columns and visual encoding channels, such as the x-axis, y-axis, color, etc. The rest of the plot details are handled automatically. Building on this declarative plotting idea, a surprising range of simple to sophisticated plots and visualizations can be created using relatively concise grammar.
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WebDataRocks
WebDataRocks is a simple free JS library for creating functional and easy-to-use pivot tables. It can be used with Angular, Vue, React or any other framework.
Free
Flexible in customization
JavaScript based client-side component
Loads 1MB of JSON or CSV data files
Full set of enterprise features
Integration with 3rd party charting libraries
Full set of enterprise features
Features like filtering, sorting, grouping, conditional and number formatting, calculated values, totals are available for efficient work with your data. It supports printing or exporting web report to PDF, Excel or HTML with just one click.
Ready-to-use modern UI
The tool offers a classy spreadsheet-like interface optimized both for browsers and apps. All principles of reliability and excellent user experience are already implemented in this web reporting tool.
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FusionCharts
FusionCharts is a powerful and easy-to-use JavaScript charting library that helps developers to add interactive charts and data visualizations to their web and mobile applications. With 100+ chart types, including column, bar, line, area, pie, doughnut, scatter, bubble, and more, it's easy to create professional-looking charts that are engaging and informative. The library is completely cross-browser compatible and works seamlessly with a wide range of technologies, including Angular, React, Vue, and more.
FusionCharts product suite consists of
• FusionCharts Suite XT
• FusionTime
• FusionExport
• FusionGrid
FusionCharts offers a wide range of features that make it one of the most popular charting libraries on the market, including:
• Real-time data updates
• Dynamic updates of data using AJAX
• Drill-down and multi-level charts
• Animation and special effects
• Export to PDF, PNG, and SVG
• Responsive design
• Accessibility support
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Pricing
Starting Price:
Free
Free Version:
Free Version available.
Integrations
Company Information
Matplotlib
matplotlib.org
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