sharathsamala/mlops
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GradeC

Solid engineering. The main gap is visibility.

Top 39% of 5,156 graded repos

A project-based course on the foundations of MLOps with a focus on intuition and application.

Documentation82
Engineering81
Health50
0MIT4y ago

Top fixes

Highest-impact changes first, ranked by point weight

18 to address
  1. 1
    CI/CD14pt

    Add a lint step to catch style issues automatically.

  2. 2
    CI/CD14pt

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

  3. 3
    CI/CD14pt

    Upload coverage to Codecov, Coveralls, or report it with `--coverage` flags.

  4. 4
    Install and run instructions9pt

    Add a .env.example listing all required environment variables so contributors know what to set up.

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Scorecard

Every check, grouped by category and sorted worst-first

Documentation

82

Contributing guide5pt0

No CONTRIBUTING.md found (−47 pts base + up to −53 pts more for content).

→ Add a CONTRIBUTING.md telling newcomers how to get involved. Include setup, code style, test, and PR instructions.

Install and run instructions9pt90

README documents how to install the project.

README12pt100

README is present.

License6pt100

Licensed under MIT.

Engineering

81

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.

Reproducibility6pt80

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

CI/CD14pt85

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

Tests18pt100

Test files detected (tests).

Linting and formatting5pt100

Linter or formatter configured (.flake8).

Project health

50

Activity5pt5

No pushes in over 2 years. Looks unmaintained (−95 pts).

→ A recent commit signals the project is alive and worth using.

Dependency manifest6pt55

Dependency manifest found (pyproject.toml).

Repository metadata5pt60

Repository has a description.

Housekeeping3pt100

.gitignore present.

Repository health signals

Activity, community, and responsiveness at scan time

Activity

  • -
    Commits (30d / 90d)
  • 0
    Forks
  • 0
    Releases

Community

  • -
    Community health
  • -
    authors own >50% of commits
  • 0
    Watchers

Responsiveness

  • -
    Median issue response
  • -
    Median PR merge time
  • 0
    Open issues
Repository files28 root entries
  • .dvc
    Good: .gitignore present.
  • .github
    Good: CI is configured (.github/workflows/testing.yml).
  • airflow
  • app
  • config
  • data
  • docs
  • features
  • great_expectations
  • model
  • notebooks
  • stores
  • streamlit
  • tagifai
  • tests
    Good: Test files detected (tests).
  • .dvcignore
  • .flake8
    Good: Linter or formatter configured (.flake8).
  • .gitignore
  • .pre-commit-config.yaml
  • Dockerfile
    Good: Environment pinned via Dockerfile.
  • LICENSE
    Good: Licensed under MIT.
  • Makefile
  • mkdocs.yml
  • pyproject.toml
    Good: Dependency manifest found (pyproject.toml).
  • pytest-coverage.txt
  • 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.
  • requirements.txt
    Good: Lockfile present (requirements.txt). Installs are reproducible.
  • setup.py
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