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Sparse

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HEALTH SCORE
Excellent
86out of 100

Strong maintainer coverage and development cadence. Security posture is the only remaining gap.

LIFECYCLE
Active

Consistent commits, responsive maintainers, regular releases, and healthy issue triage.

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Health breakdown

Maintainer availability, known risks and supply chain posture, and whether the project is actively developed or appropriately stable.

Maintainer responsiveness

Median response time is 0 days.

Bus factor

5 active maintainers currently have merge rights.

Organization Diversity

Contributors span 28 organizations.

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About
A Python library for sparse n-dimensional arrays that provides data structures and algorithms for efficiently working with sparse data, similar to NumPy but optimized for arrays where most elements are zero
First commit
Software value
$613K
Tags
array-api
numpy
python
sparse-arrays
sparse-data
sparse-matrices
sparse-matrix
License(s)
BSD-3-Clause

Data sources

Git Git
GitHub GitHub