GTSAM
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Overview
HEALTH SCORE
Excellent
91out of 100
Strong maintainer coverage and development cadence. Security posture is the only remaining gap.
LIFECYCLE
Active
Consistent commits, responsive maintainers, regular releases, and healthy issue triage.
Health breakdown
Excellent(91/100)
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
19 active maintainers currently have merge rights.
Organization Diversity
Contributors span 110 organizations.
Project Achievements
Leaderboards
About
GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse matrices.
First commit
Software value
$41M
License(s)
Other
Data sources
Git
GitHub