borglab/gtsam
Grade a repo

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/ 100

GradeB

Good community traction and solid fundamentals. Nearly in the top tier.

Top 26% of 5,156 graded repos

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.

Documentation93
Engineering69
Health100
Jupyter Notebook3,552Other1mo ago

Top fixes

Highest-impact changes first, ranked by point weight

10 to address
  1. 1
    Tests18pt

    Wire your tests to a documented command (e.g. a test script in your build config) so the suite is reproducible.

  2. 2
    CI/CD14pt

    Add a step like `run: npm test`, `run: pytest`, or `run: tox` to your workflow file.

  3. 3
    CI/CD14pt

    Add a lint step to catch style issues automatically.

  4. 4
    CI/CD14pt

    Add `tsc --noEmit`, `mypy`, or `cargo check` to catch type errors before they merge.

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Scorecard

Every check, grouped by category and sorted worst-first

Documentation

93

Contributing guide5pt72

CONTRIBUTING guide found.

Install and run instructions9pt90

README documents how to install the project.

README12pt100

README is present.

License6pt100

Licensed under Other.

Engineering

69

Linting and formatting5pt0

No linter or formatter config found.

→ Add a linter config such as .eslintrc.json, .prettierrc, ruff.toml, or .golangci.yml to enforce consistent code style.

CI/CD14pt57

CI is configured (.github/workflows/build-cibw.yml).

Tests18pt80

Test files detected (gtsam/3rdparty/Eigen/test).

Reproducibility6pt92

Lockfile present (python/requirements.txt). Installs are reproducible.

Issue and PR templates6pt100

Issue or PR templates present.

Project health

100

Dependency manifest6pt100

Dependency manifest found (python/requirements.txt).

Repository metadata5pt100

Repository has a description.

Activity5pt100

Actively maintained (pushed within the last month).

Housekeeping3pt100

.gitignore present.

Repository health signals

Activity, community, and responsiveness at scan time

Activity

  • -
    Commits (30d / 90d)
  • 958
    Forks
  • 19
    Releaseslatest 4y ago

Community

  • -
    Community health
  • -
    authors own >50% of commits
  • 3,552
    Watchers

Responsiveness

  • 4h
    Median issue response
  • 5h
    Median PR merge time
  • 133
    Open issues
Repository files33 root entries
  • .github
    Good: CI is configured (.github/workflows/build-cibw.yml).
    Good: Issue or PR templates present.
  • .settings
  • cmake
  • containers
    Good: Environment pinned via containers/compose.yaml.
  • CppUnitLite
  • doc
  • examples
  • gtsam
    Good: Test files detected (gtsam/3rdparty/Eigen/test).
  • gtsam_unstable
  • linear
  • matlab
  • python
    Good: Lockfile present (python/requirements.txt). Installs are reproducible.
    Good: Dependency manifest found (python/requirements.txt).
  • tests
  • timing
  • wrap
    Good: CONTRIBUTING guide found.
    Issue: CONTRIBUTING guide contents could not be read (−28 pts vs a readable file).Fix: Move the file to the repo root or docs/CONTRIBUTING.md so its setup, style, test, and PR sections can be graded.
    Good: Dependabot is configured. Dependencies update automatically.
    Good: Security policy present.
  • .clang-format
  • .gitignore
    Good: .gitignore present.
  • .project
  • CMakeLists.txt
  • DEVELOP.md
  • gtsam_extra.cmake.in
  • INSTALL.md
  • LICENSE
    Good: Licensed under Other.
  • LICENSE.BSD
  • makestats.sh
  • myst.yml
  • package.xml
  • README.md
    Good: README is present.
    Good: README is well structured with multiple sections.
    Good: README includes screenshots or visuals. Great for first impressions.
    Good: README has code examples.
    Good: README links to a live demo or deployed app.
    Good: README includes status badges.
    Good: README documents how to install the project.
    Good: README documents how to run the project.
  • THANKS.md
  • update_wrap.sh
  • USAGE.md
  • Using-GTSAM-EXPORT.md
  • vcpkg.json
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