UMAP
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Overview
HEALTH SCORE
Fair
63out of 100
Development cadence drags the score down. Security posture and maintainer coverage help keep it from falling further.
LIFECYCLE
Active
Consistent commits, responsive maintainers, regular releases, and healthy issue triage.
Health breakdown
Fair(63/100)
Maintainer availability, known risks and supply chain posture, and whether the project is actively developed or appropriately stable.
Maintainer responsiveness
Median response time is 1 day.
Bus factor
Only 1 active maintainer currently has merge rights.
Organization Diversity
Contributors span 82 organizations.
Project Achievements
Leaderboards
About
UMAP (Uniform Manifold Approximation and Projection) is a dimension reduction technique for machine learning and data visualization. It helps visualize high-dimensional data by finding a low-dimensional representation that preserves the essential structure of the data. The algorithm is particularly effective at preserving both local and global structure in the data while being computationally efficient.
First commit
Software value
$4.9M
Tags
dimensionality-reduction
machine-learning
topological-data-analysis
umap
visualization
License(s)
BSD-3-Clause
Data sources
Git
GitHub