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
Cliprun
Cliprun makes Python automation accessible by turning your browser into a powerful development environment. Right-click any code you find online - from ChatGPT conversations to GitHub snippets - to instantly execute it without setup. Create scheduled scripts to automate repetitive tasks, analyze data with popular libraries like pandas and matplotlib, and interact with web content directly. Whether you're scraping data, automating workflows, or just experimenting with Python code, Cliprun removes the traditional barriers of environment setup and package management, letting you focus on solving problems.
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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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scikit-learn
Scikit-learn provides simple and efficient tools for predictive data analysis. Scikit-learn is a robust, open source machine learning library for the Python programming language, designed to provide simple and efficient tools for data analysis and modeling. Built on the foundations of popular scientific libraries like NumPy, SciPy, and Matplotlib, scikit-learn offers a wide range of supervised and unsupervised learning algorithms, making it an essential toolkit for data scientists, machine learning engineers, and researchers. The library is organized into a consistent and flexible framework, where various components can be combined and customized to suit specific needs. This modularity makes it easy for users to build complex pipelines, automate repetitive tasks, and integrate scikit-learn into larger machine-learning workflows. Additionally, the library’s emphasis on interoperability ensures that it works seamlessly with other Python libraries, facilitating smooth data processing.
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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.
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Matplotlib
matplotlib.org
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