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HoloViz provides high-level Python tools that are designed to work together to solve the entire problem of visualization, from conducting exploratory data analysis to deploying complex dashboards.

The core HoloViz projects are:

• Panel: Create interactive dashboards in Jupyter notebooks or standalone apps
• hvPlot: Quickly and interactively explore data with a familiar API
• HoloViews: Visualize while you analyze by declaring data properties
• GeoViews: Extend HoloViews for geographic data
• Datashader: Render big data images in a browser
• Lumen: Construct no-code dashboards from simple YAML specifications
• Colorcet: Plot with perceptually based colormaps
• Param: Declaratively code in Python

All HoloViz projects are freely available for commercial or non-commercial use according to a permissive open-source license as described in each project's website.

HoloViz uses a custom open governance model and is fiscally sponsored by NumFOCUS. Consider making a tax-deductible donation to help the project pay for developer time, professional services, travel, workshops, and a variety of other needs.

This repository provides an entry point for the HoloViz ecosystem. The best way to experience this repository is on HoloViz.org.

This website provides:

1. Introduction to the HoloViz organization and its projects
2. Guidance for which HoloViz tools to start with given different use cases
3. Demonstrations of using multiple HoloViz tools in a single workflow
4. Communication channels and FAQ for HoloViz community members
5. Governance, roadmap, and contributing guide for HoloViz developers

We recommend starting with holoviz.org/tutorial. If you already have a problem to solve that involves a particular data type, check out holoviz.org/background for guidance on which HoloViz tools to focus on.