borglab / gtsam
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.
Purpose and fit
Author description: 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.
Basic listing based on official public information; functionality has not been independently evaluated.
Sources: official source 1 · official source 2. Based on public basic information; not an in-depth evaluation.
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Repository info
Repository stars, not unique users or individual-skill installs
- Subcategory
- Networking & protocol libraries
- Platform
- Not verified
- First collected
- 2026-11-03
- Language
- Jupyter Notebook
- License
- License not declared
- Repository created
- 2017-03-27
- Last push
- 2026-11-02
- Measured at
- 2026-11-03 09:39 UTC
- Pricing
- Pricing not verified
- Cost details
- Check current official software, hosting, model and infrastructure pricing.
- Maintenance notes
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License tiers are derived from metadata. Check obligations for your use; unknown does not mean prohibited.
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Historical observations
Raw observations below are not daily gains.
| Measured at | stars | Source |
|---|---|---|
| 2026-11-03 09:39:54 UTC | 3,773 | Source |