sciml/scimlbenchmarks.jl

0

/ 100

Documentation85
Engineering48
Health68
MATLAB343MIT1d ago
Grade a repo

Popular for its size, but the engineering basics lag behind the interest.

Scientific machine learning (SciML) benchmarks, AI for science, and (differential) equation solvers. Covers Julia, Python (PyTorch, Jax), MATLAB, R

Documentation

85

Contributing guide5pt25

Contributing guidance is in the README, not a dedicated CONTRIBUTING.md (−20 pts).

→ Moving it to a CONTRIBUTING.md makes it easier to find and keeps the README focused. A dedicated file earns +47 pts base.

Install and run instructions9pt90

README documents how to install the project.

README12pt100

README is present.

License6pt100

Licensed under MIT.

Engineering

48

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.

Issue and PR templates6pt0

No issue or PR templates found (−100 pts).

→ Add .github/ISSUE_TEMPLATE/ with bug_report.md and feature_request.md to guide contributors. It dramatically improves issue quality.

Reproducibility6pt20

No dependency lockfile found (−70 pts).

→ Commit the lockfile for this project's package manager so installs produce the same dependency versions everywhere.

CI/CD14pt57

CI is configured (.github/workflows/test.yml).

Tests18pt80

Test files detected (test).

Project health

68

Dependency manifest6pt0

No dependency manifest detected at root.

→ Add a manifest (package.json, pyproject.toml, Cargo.toml, go.mod, etc.) so others can install dependencies in one command.

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)
  • 110
    Forks
  • 4
    Releaseslatest 2y ago

Community

  • —
    Community health
  • —
    authors own >50% of commits
  • 343
    Watchers

Responsiveness

  • 3h
    Median issue response
  • 4h
    Median PR merge time
  • 37
    Open issues
Repository files14 root entries
  • .github
    Good: CI is configured (.github/workflows/test.yml).
    Good: Dependabot covers 2 ecosystems (github-actions, julia). Dependencies stay current.
  • benchmarks
  • docs
  • ext
  • src
  • test
    Good: Test files detected (test).
  • .gitignore
    Good: .gitignore present.
  • .typos.toml
  • benchmark.jl
  • CITATION.bib
  • JuliaFormatter.toml
  • LICENSE.md
    Good: Licensed under MIT.
  • Project.toml
  • 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.