Weights & Biases
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Overview
HEALTH SCORE
Fair
69out of 100
Security posture drags the score down. Maintainer coverage and development cadence help keep it from falling further.
LIFECYCLE
Active
Consistent commits, responsive maintainers, regular releases, and healthy issue triage.
Health breakdown
Fair(69/100)
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
54 active maintainers currently have merge rights.
Organization Diversity
Contributors span 286 organizations.
Project Achievements
Leaderboards
About
Weights & Biases is a machine learning platform that helps teams track experiments, manage datasets, and collaborate on ML projects. It provides tools for experiment tracking, model versioning, dataset versioning, and visualization of machine learning metrics.
First commit
Software value
$63M
Tags
ai
collaboration
data-science
data-versioning
deep-learning
experiment-track
hyperparameter-optimization
hyperparameter-search
hyperparameter-tuning
jax
keras
machine-learning
ml-platform
mlops
model-versioning
pytorch
reinforcement-learning
reproducibility
tensorflow
License(s)
MIT
Links
Data sources
Git
GitHub