thourihan/deepfakedetection
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Polished work that hasn't found its audience yet.

Top 18% of 5,156 graded repos

Deepfake Image Detection with Lightweight Models

Documentation82
Engineering89
Health89
Python9MIT4mo ago

Top fixes

Highest-impact changes first, ranked by point weight

7 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
    Install and run instructions9pt

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

  3. 3
    Reproducibility6pt

    Add a Dockerfile, .nvmrc, or .python-version to pin the runtime version and make the environment reproducible.

  4. 4
    Reproducibility6pt

    Add .github/dependabot.yml with at least one package-ecosystem entry so dependencies are updated automatically.

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

89

Reproducibility6pt70

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

Tests18pt80

Test files detected (tests).

CI/CD14pt100

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

Linting and formatting5pt100

Linter or formatter configured (ruff.toml).

Issue and PR templates6pt100

Issue or PR templates present.

Project health

89

Activity5pt60

Last pushed 3-6 months ago (−40 pts). A push within 90 days earns 80 pts; within 30 days earns 100 pts.

→ A recent commit keeps the project looking alive to visitors and contributors.

Dependency manifest6pt100

Dependency manifest found (requirements.txt).

Repository metadata5pt100

Repository has a description.

Housekeeping3pt100

.gitignore present.

Repository health signals

Activity, community, and responsiveness at scan time

Activity

  • -
    Commits (30d / 90d)
  • 4
    Forks
  • 3
    Releaseslatest 7mo ago

Community

  • 57% - Fair
    Community health
  • -
    authors own >50% of commits
  • 9
    Watchers

Responsiveness

  • 6d 22h
    Median issue response
  • <1h
    Median PR merge time
  • 6
    Open issues
Repository files14 root entries
  • .github
    Good: CI is configured (.github/workflows/ci.yml).
    Good: Issue or PR templates present.
  • config
  • docs
  • orchestration
  • tests
    Good: Test files detected (tests).
  • trainers
  • .gitignore
    Good: .gitignore present.
  • inference.py
  • LICENSE
    Good: Licensed under MIT.
  • 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.
    Good: Dependency manifest found (requirements.txt).
  • ruff.toml
    Good: Linter or formatter configured (ruff.toml).
  • train.py
  • web_ui.py
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