The powerful data exploration & web app framework for Python.
Stop plotting your data - annotate your data and let it visualize itself.
Make your Python code clearer and more reliable by declaring Parameters.
GeoViews is a Python library that makes it easy to explore and visualize geographical, meteorological, and oceanographic datasets, such as those used in weather, climate, and remote sensing research.
Data visualization toolchain based on aggregating into a grid
A high-level plotting API for the PyData ecosystem built on HoloViews.
Pandas extension arrays for spatial/geometric operations
A JupyterLab extension for rendering HoloViz content.
Collection of perceptually uniform colormaps
How to solve visualization problems with Python tools.
Notebook Emacs Interface
Visual dataflow programming between parameterized objects.
Generate ipywidgets from Parameterized objects in the notebook
ParamBokeh provides an easy way to generate a UI for param based classes in the notebook or on bokeh server.
Autover provides consistent and up-to-date `__version__` strings for Python packages.
Generic Python library for 0D, 1D, and 2D pattern distributions.
Launch jobs, organize the output, and dissect the results.
Optional Tkinter interface for Param
A general-purpose neural simulator focusing on topographic maps.
Number sequences, currently included with the Param package