https://github.com/efeckc17/ghanalyzer
Analyze any GitHub profile with detailed insights, charts, and stats – built with Flask & GitHub API.
https://github.com/efeckc17/ghanalyzer
flask github-analytics github-analyzer github-api github-stats javascript opensource profile-analyzer python
Last synced: 4 months ago
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Analyze any GitHub profile with detailed insights, charts, and stats – built with Flask & GitHub API.
- Host: GitHub
- URL: https://github.com/efeckc17/ghanalyzer
- Owner: Efeckc17
- License: mit
- Created: 2025-04-29T14:12:58.000Z (8 months ago)
- Default Branch: main
- Last Pushed: 2025-05-05T22:23:10.000Z (8 months ago)
- Last Synced: 2025-06-19T05:40:53.623Z (6 months ago)
- Topics: flask, github-analytics, github-analyzer, github-api, github-stats, javascript, opensource, profile-analyzer, python
- Language: JavaScript
- Homepage:
- Size: 179 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# GHAnalyzer
A Flask-based web application for visualizing detailed GitHub user statistics and analytics.
## Features
- 📊 Comprehensive GitHub profile analytics
- 📈 Interactive charts and visualizations
- 🔍 Detailed repository statistics
- 📅 Contribution history analysis
- 🌐 Language distribution insights
- ⭐ Top repositories overview
- 📊 Real-time API rate limit monitoring
## Quick Start
### Prerequisites
- Python 3.8 or higher
- GitHub Personal Access Token
- pip (Python package manager)
### Installation
1. Clone the repository:
```bash
git clone https://github.com/Efeckc17/GHAnalyzer.git
cd GHAnalyzer
```
2. Install required packages:
```bash
pip install -r requirements.txt
```
3. Create a `.env` file in the root directory and add your GitHub API token:
```
GITHUB_TOKEN=your_github_token_here
```
To obtain a GitHub API token:
1. Log in to your GitHub account
2. Go to Settings > Developer settings > Personal access tokens > Tokens (classic)
3. Click "Generate new token"
4. Grant at least "read:user" and "public_repo" permissions
5. Copy the generated token to your `.env` file
### Running the Application
```bash
python run.py
```
The application will be available at http://localhost:5000
## Features in Detail
### User Analytics
- Profile information and statistics
- Account age and activity metrics
- Follower and following counts
- Total contributions and activity patterns
### Repository Analysis
- Top repositories by stars
- Fork statistics
- Issue and pull request metrics
- Repository size and activity tracking
### Code Statistics
- Programming language distribution
- Commit history visualization
- Quarterly contribution patterns
- Code frequency analysis
### API Monitoring
- Real-time GitHub API rate limit tracking
- Remaining requests counter
- Rate limit reset timer
## Technical Stack
- **Backend**: Flask (Python)
- **Frontend**: HTML5, CSS3, JavaScript
- **Charts**: Chart.js
- **API**: GitHub REST API v3
- **Authentication**: GitHub Personal Access Token
## Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
## License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
## Acknowledgments
- GitHub API for providing comprehensive access to user data
- Chart.js for beautiful data visualizations
- Flask community for the excellent web framework