beringresearch/ivis
Dimensionality reduction in very large datasets using Siamese Networks
This tool helps scientists, data analysts, and researchers make sense of very large, complex datasets, especially those with many features like single-cell genomics data. It takes in your raw data (like numerical arrays or sparse matrices) and generates a simplified 2D or 3D map that you can visualize to find patterns, clusters, or anomalies.
343 stars. Available on PyPI.
Use this if you need to visualize large datasets with many different characteristics to uncover hidden structures and relationships that aren't obvious in the raw data.
Not ideal if you're working with small datasets or only need simple statistical summaries rather than a visual overview of complex patterns.
Stars
343
Forks
44
Language
Python
License
Apache-2.0
Category
Last pushed
Nov 10, 2025
Commits (30d)
0
Dependencies
5
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