HoloVizNumFOCUS Sponsored Project since 2023
The HoloViz project is a set of open-source and interoperable tools for making sense of data at any scale, primarily through visualization in a web browser. These high-level tools are systematically layered, allowing users to quickly build with high-level interfaces and then drop down to lower levels when precise control is required. This layered approach results in visualizations that are immediately usable but can then continue to be inspected, pulled apart, reconfigured, and recomposed as needed. Whether conducting exploratory analysis or building complex dashboards, HoloViz tools are designed to work together to solve the entire problem of understanding and communicating data visually: hvPlot (interactive plotting built on Bokeh, Matplotlib, and Plotly), Panel (interactive apps and dashboards), Datashader (server-side rendering of large datasets), Colorcet (perceptually based colormapping), HoloViews and GeoViews (declarative high-level data description and plotting), Lumen (low-code and no-code plotting and apps), and Param (support for declarative parameter-based coding).
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Academic Research (earth science, physical science, life science, etc), Research & Development (non-academic), Technology, Government, Consulting, Finance, Engineering, Energy, Education, Manufacturing, Healthcare
Visualization, Data Analysis, Data Exploration, Data Apps, Dashboards, Big Data
HoloViz tools are used widely in many different areas of research and data science, including earth science, finance, physics, and neuroscience, leading to millions of total HoloViz package downloads per month. For example, the Pangeo community uses HoloViz to conduct earth science research on big data that drives insights about our changing climate.