Altair is a declarative statistical visualization library for Python, based on Vega and Vega-Lite. It allows for the creation of a wide range of statistical visualizations with a simple and concise syntax. Altair's API is designed to be intuitive and easy to use, making it accessible for both beginners and experienced data scientists. The site serves as the official documentation and resource hub for the Altair library, providing tutorials, examples, and API references.
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Allows users to define what they want to visualize without specifying how to visualize it, making the creation of complex visualizations straightforward.
Supports interactive features such as tooltips, zooming, and panning, enhancing the user experience in data exploration.
Seamlessly integrates with Jupyter notebooks, enabling interactive data visualization within a familiar environment for data scientists.
Supports a variety of chart types including bar charts, line charts, scatter plots, histograms, and more, catering to diverse visualization needs.
Provides built-in support for data aggregation, filtering, and transformation, allowing for on-the-fly data manipulation within visualizations.
Altair is an open-source project, encouraging contributions from the community and fostering a collaborative environment for development.
Has an active community of users and developers, providing a platform for sharing knowledge, asking questions, and contributing to the project.
Comprehensive documentation is available, including getting started guides, tutorials, and detailed API references to help users of all levels.
Released under the BSD 3-Clause License, allowing for both academic and commercial use with minimal restrictions.
Built on top of Vega and Vega-Lite, leveraging their capabilities for rendering visualizations in web browsers.
Security headers report is a very important part of user data protection. Learn more about http headers for altair-viz.github.io