HoloViz
HoloViz is a coordinated open-source effort to make browser-based data visualization in Python easier to use, learn, and more powerful. It brings together interoperable high-level tools for the workflow from exploratory analysis through interactive visualization, dashboards, and deployment.
At a Glance
- Scientists, engineers, and data analysts
- Data-science and research teams
- Universities and academic users
- Startups
- +3 more
AI Tools by HoloViz
(1)
Panel
Python Dashboard and Web App Library
Discussions
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Latest News
Introducing Panel Live Server: An MCP Server for Instant Python Visualization Rendering
HoloViz for LLMs: skills and evaluation framework to improve AI-generated HoloViz code
Param 2.4.0 Release with full static typing support
Lumen AI 1.0: structured, auditable AI-driven data apps
Products & Services
Open-source Python framework for building interactive dashboards, tools, and complex applications in notebooks or as standalone deployable web apps.
High-level plotting API that quickly creates interactive HoloViews, GeoViews, or Panel objects from Pandas, Xarray, Dask, NetworkX, and other data structures.
Declarative objects for making data instantly visualizable and building Bokeh plots from high-level specifications.
Geographic visualization library that extends and interoperates with HoloViews.
Market Position
HoloViz positions itself as a coherent, interoperable Python visualization ecosystem spanning high-level plotting, declarative visualization, large-data rendering, geospatial analysis, reactive dashboards, and deployment. It is differentiated from single-purpose plotting or dashboard frameworks by letting users stay in Python and combine Bokeh, Matplotlib, Plotly, Pandas, Xarray, Dask, and other PyData tools; the Panel announcement specifically compares its dashboarding concepts with Shiny, ipywidgets, and Plotly Dash.
Leadership
Founders
James A. Bednar
Named on the founding HoloViz team; also an author/maintainer associated with Datashader and Python visualization work.
Philipp Rudiger
Named on the founding HoloViz team; author and maintainer associated with Panel, HoloViews, and the broader PyData visualization ecosystem.
Jean-Luc Stevens
Named on the founding HoloViz team and a contributor to the HoloViz/PyViz visualization ecosystem.
Julia Signell
Named on the founding HoloViz team and a contributor to the HoloViz/PyViz visualization ecosystem.
Chris Ball
Named on the founding HoloViz team and a contributor to the HoloViz/PyViz visualization ecosystem.
Jon Mease
Named on the founding HoloViz team and a contributor to the HoloViz/PyViz visualization ecosystem.
Founding Story
HoloViz grew out of PyViz, a project originally started by Anaconda that brought together authors of Datashader, HoloViews, GeoViews, Param, and Colorcet and added Panel and hvPlot. In July 2019 the group split PyViz's neutral, landscape-wide information role from HoloViz's opinionated guide to the tools created and maintained by the group, with the initial vision of making Python visualization more accessible and providing interoperable higher-level interfaces.
Business Model
Revenue Model
HoloViz and its component packages are open source and free for commercial and non-commercial use. The ecosystem is supported through Anaconda, Inc., partnerships and contracts with commercial and government clients, grants, and NumFOCUS fiscal sponsorship rather than public software subscription pricing.
Target Markets
- Scientists, engineers, and data analysts
- Data-science and research teams
- Universities and academic users
- Startups
- R&D organizations
- Fortune 500 and other enterprise users
- Exploratory data analysis in Jupyter notebooks
- Interactive plots and linked visual analytics
- Data dashboards and internal decision-support tools
- Deployable web applications and data products
- Large-scale and geospatial visualization
- Streaming, dynamic, and multi-stage data pipelines