kpole95/phishing-url-detector-mlops
Grade a repo

0

/ 100

GradeA

Exemplary work. Strong across documentation, project hygiene, and engineering. It just hasn't found an audience yet.

Top 5% of 5,156 graded repos

Production-grade MLOps pipeline for phishing URL detection with modular training, MLflow experiment tracking, FastAPI inference, and automated CI/CD to AWS

Documentation100
Engineering93
Health100
Python2MIT3d ago

Outstanding. A score of 96/100 puts this repo in a very small tier of truly well-engineered projects.

Top fixes

Highest-impact changes first, ranked by point weight

1 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.

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Scorecard

Every check, grouped by category and sorted worst-first

Documentation

100

README12pt100

README is present.

Install and run instructions9pt100

README documents how to install the project.

License6pt100

Licensed under MIT.

Contributing guide5pt100

Contributing guide is detailed and thorough.

Engineering

93

Tests18pt80

Test files detected (test_mongodb.py).

CI/CD14pt100

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

Linting and formatting5pt100

Linter or formatter configured (ruff.toml).

Reproducibility6pt100

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

Issue and PR templates6pt100

Issue or PR templates present.

Project health

100

Dependency manifest6pt100

Dependency manifest found (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

  • 3 / 7
    Commits (30d / 90d)
  • 0
    Forks
  • 0
    Releases

Community

  • 71% - Fair
    Community health
  • -
    authors own >50% of commits
  • 2
    Watchers

Responsiveness

  • -
    Median issue response
  • -
    Median PR merge time
  • 3
    Open issues
Repository files19 root entries
  • .github
    Good: CI is configured (.github/workflows/main.yml).
    Good: Dependabot covers 2 ecosystems (pip, github-actions). Dependencies stay current.
    Good: Issue or PR templates present.
  • data_schema
  • docs
  • networksecurity
  • templates
  • tests
  • .env.example
  • .gitignore
    Good: .gitignore present.
  • app.py
  • CONTRIBUTING.md
    Good: Contributing guide is detailed and thorough.
    Good: Contributing guide includes setup/install instructions.
    Good: Contributing guide describes code style expectations.
    Good: Contributing guide explains how to run tests.
    Good: Contributing guide describes the PR/review workflow.
    Good: Contributing guide includes code examples.
  • Dockerfile
    Good: Environment pinned via Dockerfile.
  • LICENSE
    Good: Licensed under MIT.
  • main.py
  • push_data.py
  • 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).
  • setup.py
  • test_mongodb.py
    Good: Test files detected (test_mongodb.py).
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