Interactive visualization tool for high-dimensional data exploration
Top 17.4% on sourcepulse
HiPlot is an interactive visualization tool designed to simplify the exploration of high-dimensional datasets, particularly for AI researchers. It addresses the challenge of identifying correlations and patterns in complex data through parallel plots and other graphical representations, offering a more intuitive understanding than traditional methods.
How It Works
HiPlot leverages parallel coordinate plots to visualize relationships across multiple dimensions simultaneously. This approach allows users to visually trace data points across various axes, making it easier to spot trends, outliers, and clusters that might be obscured in lower-dimensional views. The tool is designed for interactivity, enabling users to reorder dimensions, filter data, and zoom into specific regions of interest.
Quick Start & Requirements
pip install -U hiplot
or conda: conda install -c conda-forge hiplot
.import hiplot as hip; hip.Experiment.from_iterable(data).display()
.Highlighted Details
Maintenance & Community
Licensing & Compatibility
Limitations & Caveats
The README does not detail specific performance benchmarks or known limitations regarding dataset size or complexity.
1 year ago
Inactive