Ludwig
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Overview
HEALTH SCORE
Fair
54out of 100
Maintainer coverage drags the score down. Development cadence and security posture help keep it from falling further.
LIFECYCLE
Active
Consistent commits, responsive maintainers, regular releases, and healthy issue triage.
Health breakdown
Fair(54/100)
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, but most repositories have response times over 90 days.
Bus factor
Only 3 active maintainers currently have merge rights.
Organization Diversity
Contributors come from 81 organizations only.
Project Achievements
Leaderboards
About
Ludwig is an open-source, declarative machine learning framework that makes it easy to define deep learning pipelines with a simple and flexible data-driven configuration system. Ludwig is a low-code framework for building custom AI models like LLMs and other deep neural networks.
First commit
Software value
$17M
Maturity
Incubating
License(s)
MIT
Apache-2.0
Other
Data sources
Groups.io
Git
GitHub
Hacker News