tuned-org-uk/arrowspace-rs

VectorDB library using dispersion models. Provides graph analysis, vector search and a energy-distribution stats for your vectors in one package.

41
/ 100
Emerging

This tool helps scientists and researchers analyze and search through high-dimensional datasets, particularly when the 'spectral' characteristics of data are important. It takes in vectors representing data points (like chemical spectra or gene expression profiles) and outputs highly relevant search results and insights into how data points relate to each other through graph analysis. It's designed for anyone working with complex numerical data where traditional similarity searches might miss important relationships.

Use this if you need to find more nuanced similarities in your high-dimensional data, especially when traditional distance metrics aren't capturing the important relationships based on spectral properties.

Not ideal if your data is low-dimensional, or if simple, direct similarity metrics like cosine distance are already sufficient for your search and analysis needs.

spectral-analysis materials-science bioinformatics cheminformatics pattern-recognition
No Package No Dependents
Maintenance 10 / 25
Adoption 7 / 25
Maturity 15 / 25
Community 9 / 25

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Stars

33

Forks

3

Language

Rust

License

Apache-2.0

Last pushed

Mar 02, 2026

Commits (30d)

0

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