mlpack
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Overview
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.
Health breakdown
Excellent(86/100)
Maintainer availability, known risks and supply chain posture, and whether the project is actively developed or appropriately stable.
Maintainer responsiveness
Median response time is 2 days.
Bus factor
12 active maintainers currently have merge rights.
Organization Diversity
Contributors span 64 organizations.
Project Achievements
Leaderboards
About
mlpack is a fast, flexible machine learning library written in C++ that aims to provide fast, extensible implementations of cutting-edge machine learning algorithms. It offers bindings for multiple languages and emphasizes scalability, speed, and ease-of-use through both command-line and C++ interfaces.
First commit
Software value
$14M
Tags
c-plus-plus
deep-learning
hacktoberfest
machine-learning
machine-learning-library
nearest-neighbor-search
regression
scientific-computing
License(s)
Other
Data sources
Git
GitHub