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HoloViz: High-level tools to simplify visualization in Python
Test suite status Status
Site/Content version Github tag
Docs gh-pages site dev-site
Status Dashboard
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Code of Conduct Based on Contributor Covenant
Fiscal Sponsor Powered by NumFOCUS

What is HoloViz?

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
Panel Logo hvPlot Logo HoloViews Logo GeoViews Logo
Datashader Logo Lumen Logo Colorcet Logo Param Logo

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.

NumFOCUS donation details

NumFOCUS is a 501(c)(3) non-profit charity in the United States; as such, donations to NumFOCUS are tax-deductible as allowed by law. As with any donation, you should consult with your personal tax adviser or the IRS about your particular tax situation.


What is the purpose of this specific repository?

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

Getting Started

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.