fastai
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Overview
HEALTH SCORE
Fair
50out of 100
Security posture drags the score down. Development cadence and maintainer coverage help keep it from falling further.
LIFECYCLE
Active
Consistent commits, responsive maintainers, regular releases, and healthy issue triage.
Health breakdown
Fair(50/100)
Maintainer availability, known risks and supply chain posture, and whether the project is actively developed or appropriately stable.
Maintainer responsiveness
Median response time is 7 days.
Bus factor
Only 1 active maintainer currently has merge rights.
Organization Diversity
Contributors span 115 organizations.
Project Achievements
Leaderboards
About
fastai is a deep learning library and educational platform that simplifies training fast and accurate neural networks using modern best practices. It provides high-level components for training models with state-of-the-art results in computer vision, natural language processing, tabular data analysis, and collaborative filtering.
First commit
Software value
$5.9M
Tags
colab
deep-learning
fastai
gpu
machine-learning
notebooks
python
pytorch
License(s)
Apache-2.0
Data sources
Git
GitHub