All notable changes to this project will be documented in this file.
- Initial release of Instagram Analytics Dashboard
- Meta Graph API integration for real Instagram data
- Comprehensive demo mode with realistic sample data
- GUI interface built with tkinter
- Account overview with key metrics and statistics
- Posts analysis with individual performance tracking
- Interactive charts and data visualizations
- Engagement rate calculation and benchmarking
- Posting pattern analysis and optimization recommendations
- Data export functionality (reports, charts, raw data)
- Comprehensive test suite with 18+ test cases
- Configuration management with environment variables
- Cross-platform compatibility (Windows, macOS, Linux)
- Detailed documentation and setup guides
- Real-time Data: Fetch live data from Instagram via Meta API
- Demo Mode: Test app functionality without API setup
- Analytics Dashboard: Multi-tab interface for different views
- Visual Charts: Engagement trends, posting patterns, performance metrics
- Export Options: Save reports and charts in multiple formats
- Secure Config: Environment-based credential management
- Comprehensive Testing: Full test coverage for reliability
- Python 3.8+ support
- Modern GUI with tkinter
- Data visualization with matplotlib and seaborn
- Data processing with pandas and numpy
- API client with requests library
- Environment management with python-dotenv
- Image handling with Pillow
- Clone the repository
- Install dependencies:
pip install -r requirements.txt - Run demo mode:
python main.py→ "Load Demo Data" - For real data: Configure Meta API credentials
- Explore analytics across multiple dashboard tabs
- Complete README with setup instructions
- API configuration guide
- Usage tutorials for all features
- Troubleshooting section
- Development guidelines
This release provides a solid foundation for Instagram analytics with both demo and live data capabilities, making it accessible for immediate testing while supporting real-world usage scenarios.