Stars

Abstract

1. Introduction

Track GitHub stars, contributors, PyPI downloads, Google Analytics, Reddit, and Ultralytics Platform stats for Ultralytics projects.

Real-time analytics updated daily at 02:07 UTC via GitHub Actions.

2. Objective

Daily Ultralytics analytics for GitHub, PyPI, Google Analytics, Reddit, and Platform metrics, published as static JSON with historical star tracking.

This project demonstrates how Python can be applied to a real-world Digital Marketing & SEO problem.

4. Technology Stack

5. System Requirements

General requirements for this technology stack — check the README for exact versions.

• Python 3.8 or later
• pip / virtualenv for dependencies
• VS Code, PyCharm or Jupyter Notebook
• Git (to clone the repository)

6. Installation & Setup

git clone https://github.com/ultralytics/stars.git
cd stars

1. --token: GitHub Personal Access Token (create one)
2. --days: Number of trailing days to analyze (default: 30)
3. --save: Save user information to CSV (optional)
4. Ultralytics projects (ultralytics, yolov5, yolov3)
5. YOLO variants (yolov6, yolov7, YOLOX)
6. FAANG repos (detectron2, segment-anything, deepmind-research)
7. ML frameworks (PyTorch Lightning, fastai, ray)
8. And 30+ more popular CV/ML repositories

curl https://raw.githubusercontent.com/ultralytics/stars/main/data/github.json
curl https://raw.githubusercontent.com/ultralytics/stars/main/data/pypi.json

import requests

stars = requests.get("https://raw.githubusercontent.com/ultralytics/stars/main/data/github.json").json()
downloads = requests.get("https://raw.githubusercontent.com/ultralytics/stars/main/data/pypi.json").json()
print(f"Total stars: {stars['total_stars']:,}")
print(f"Total forks: {stars['total_forks']:,}")
print(f"Total issues: {stars['total_issues']:,}")
print(f"Total PRs: {stars['total_pull_requests']:,}")
print(f"Total contributors: {stars['total_contributors']:,}")
print(f"PyPI downloads (total): {downloads['total_downloads']:,}")
print(f"PyPI downloads (30d): {downloads['total_last_month']:,}")

pip install -r requirements.txt

python count_stars.py --token YOUR_GITHUB_TOKEN --days 30 --save

Full setup instructions are in the project README.

7. Future Enhancements

Suggested extensions you can add to make this your own project.

• Export reports to Google Sheets or PDF
• Schedule weekly automated reports
• Add competitor comparison

8. Viva / Review Questions

Common questions examiners ask for projects in this domain.

1. Which marketing or SEO problem does this tool solve?
2. Which data sources or APIs does it use (Search Console, Analytics, social platforms)?
3. Which metrics or KPIs does it report and how are they calculated?
4. How could the output help a business make decisions?
5. How would you schedule it to run automatically?

9. Source Code & License

This project is developed by ultralytics and published on GitHub under the GNU Affero General Public License v3.0. Please follow the license terms and credit the original author when you use or modify this code.