holoviz/holoviews

Health v2 · maintenance only

Adoption not part of the score

2906 stars · 419 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

HoloViews is an open-source Python library for data analysis and visualization that lets you annotate data with dimensions and let it visualize itself in very few lines of code. It supports Matplotlib, Bokeh, and Plotly backends and integrates with NumPy, pandas, dask, xarray, and Jupyter.

Use cases

• visualize pandas dataframes with minimal code
• create interactive plots in jupyter notebooks
• explore high-dimensional datasets declaratively
• build reproducible research visualizations
• switch between matplotlib bokeh and plotly backends
• make interactive dashboards with widgets and streams

When to choose

• you want declarative, annotation-based plotting with minimal code
• you work in Jupyter with the PyData ecosystem (pandas, xarray, dask)
• you need interactive visualizations with multiple plotting backends
• you want reproducible research workflows

When to avoid

• you need pixel-perfect static publication graphics with fine-grained control
• you want a simple one-function plotting wrapper (consider hvPlot instead)
• your project is outside the Python/PyData ecosystem

Facets

library · maturity stable

data-visualization charts data-visualization data-science analytics python cross-platform windows plotting jupyter bokeh matplotlib plotly declarative-visualization pydata interactive-visualization linux macos

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