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).
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FusionCharts product suite consists of
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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
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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
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Seaborn
Seaborn is a Python data visualization library based on matplotlib. It provides a high-level interface for drawing attractive and informative statistical graphics. For a brief introduction to the ideas behind the library, you can read the introductory notes or the paper. Visit the installation page to see how you can download the package and get started with it. You can browse the example gallery to see some of the things that you can do with seaborn, and then check out the tutorials or API reference to find out how. To see the code or report a bug, please visit the GitHub repository. General support questions are most at home on StackOverflow, which has a dedicated channel for seaborn.
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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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Pricing
Starting Price:
Free
Free Version:
Free Version available.
Integrations
Company Information
Matplotlib
matplotlib.org
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