HoloViz
NumFOCUS Sponsored Project since 2023The 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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Industry
Academic Research (earth science, physical science, life science, etc), Research & Development (non-academic), Technology, Government, Consulting, Finance, Engineering, Energy, Education, Manufacturing, Healthcare
Language
Python, Javascript
Features
Visualization, Data Analysis, Data Exploration, Data Apps, Dashboards, Big Data
HoloViz provides high-level tools that are designed to work together to solve the entire problem of visualization in the browser, from data exploration to dashboarding. Data exploration in HoloViz is based on a principle of associating data directly with its semantic description and keeping the original data accessible, even in complex visualizations. Dashboarding in HoloViz supports nearly all Python plotting libraries, works just as well in a Jupyter notebook as on a standalone secure web server, supports Python-backed and static or WASM-based HTML/JavaScript applications, and can be used to develop rich interactive applications without tying your domain-specific code to any particular GUI or web tools. The HoloViz approach results in research, data science, and engineering that is more interactive, concise, declarative, and reproducible.
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.
