mlr3pipelines
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Overview
HEALTH SCORE
Fair
65out of 100
Maintainer coverage drags the score down. Security posture and development cadence help keep it from falling further.
LIFECYCLE
Active
Consistent commits, responsive maintainers, regular releases, and healthy issue triage.
Health breakdown
Fair(65/100)
Maintainer availability, known risks and supply chain posture, and whether the project is actively developed or appropriately stable.
Maintainer responsiveness
Median response time is 11 days.
Bus factor
Only 2 active maintainers currently have merge rights.
Organization Diversity
Contributors span 6 organizations.
Project Achievements
Leaderboards
About
mlr3pipelines is a machine learning package that provides a flexible, composable system for creating ML workflows and pipelines in R. It is part of the mlr3 ecosystem and allows users to define complex preprocessing, model training, and prediction steps as modular building blocks that can be chained together.
First commit
Software value
$747K
Tags
bagging
data-science
dataflow-programming
ensemble-learning
machine-learning
mlr3
pipelines
preprocessing
r
r-package
stacking
License(s)
LGPL-3.0
Data sources
Git
GitHub