EnerGNN
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Overview
HEALTH SCORE
Fair
58out 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(58/100)
Maintainer availability, known risks and supply chain posture, and whether the project is actively developed or appropriately stable.
Maintainer responsiveness
Median response time is 36 days.
Bus factor
5 active maintainers currently have merge rights.
Organization Diversity
Contributors span 5 organizations.
Project Achievements
Leaderboards
About
Open source graph neural network library for grid operators to train AI models that give approximate answers to grid studies faster than conventional solvers, on full-scale, changing grids.
First commit
Software value
$279K
Maturity
Sandbox
Tags
Graph Neural Networks
Energy Systems
Power Grids
Machine Learning
Deep Learning
License(s)
MPL-2.0
Links
Data sources
Git
GitHub