hiplot  by facebookresearch

Interactive visualization tool for high-dimensional data exploration

created 5 years ago
2,798 stars

Top 17.4% on sourcepulse

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Project Summary

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

Highlighted Details

  • Supports multiple usage modes: web server for CSVs, Jupyter notebooks/Streamlit apps, and CLI for standalone HTML.
  • Lightweight and interactive, designed for rapid exploration of experimental results.
  • Visualizes high-dimensional data using parallel plots and other graphical methods.

Maintenance & Community

  • Developed by Facebook AI Research (FAIR).
  • Credits include work inspired by Kai Chang, Mike Bostock, and Jason Davies.
  • Open to external contributions.

Licensing & Compatibility

  • MIT Licensed.
  • Compatible with commercial and closed-source applications.

Limitations & Caveats

The README does not detail specific performance benchmarks or known limitations regarding dataset size or complexity.

Health Check
Last commit

1 year ago

Responsiveness

Inactive

Pull Requests (30d)
0
Issues (30d)
0
Star History
12 stars in the last 90 days

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