Gym-Duckietown
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Overview
HEALTH SCORE
Critical
28out of 100
Development cadence is the primary crisis signal. Security posture and maintainer coverage show little to offset it. Every health signal is at or near zero.
LIFECYCLE
Active
Consistent commits, responsive maintainers, regular releases, and healthy issue triage.
Health breakdown
Critical(28/100)
Maintainer availability, known risks and supply chain posture, and whether the project is actively developed or appropriately stable.
Maintainer responsiveness
No PRs or issues were opened in the review window, so response time could not be measured.
Bus factor
No data available. Repository has not been indexed for bus factor.
Organization Diversity
Contributors span 3 organizations.
Project Achievements
Leaderboards
About
Gym-Duckietown is a self-driving car simulator environment for OpenAI Gym that enables training and testing of autonomous driving algorithms using simulated Duckiebots in a customizable city environment. It provides a realistic physics engine, multiple camera views, domain randomization features, and various maps for developing reinforcement learning and computer vision applications.
First commit
Software value
$168K
Tags
imitation-learning
openai-gym
reinforcement-learning
robot
simulator
License(s)
Other
Data sources
Git
GitHub