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Check it out [here](https://whats-chat-detective.streamlit.app/)!\n\n## Features\n\n### Message Analysis\n- Counts media types: images, videos, GIFs, stickers, voice messages\n- Detects deleted messages\n- Detects edited messages (new!)\n- Tracks links and location shares\n- Emoji usage analysis\n\n### Visualizations\n- **Activity Heatmap** - See when you chat the most (day/hour)\n- **Word Cloud** - Interactive with adjustable word length and count\n- **Monthly Volume** - Track messaging trends over time\n- **Response Matrix** - Who responds to whom\n- **Time of Day** - When each person is most active\n- **Day of Week** - Activity patterns by weekday\n\n### Statistics\n- Message counts and percentages per author\n- Talkativeness ratings (5-tier: Very quiet → Very talkative)\n- Messaging trends (3, 6, 12 month analysis)\n- Response time analysis\n- Consecutive message streaks\n- Conversation starter detection\n\n## Privacy\n\nYour data stays on your device. Nothing is saved or sent to external servers.\n\n## Supported Languages\n\n- English\n- Turkish\n- German\n\nEach language has full support for detecting:\n- Deleted message notifications\n- Edited message indicators\n- Media placeholders\n\n## Usage\n\n1. Export your chat from WhatsApp (without media)\n2. Upload the `.txt` file\n3. Select participants to analyze\n4. Choose your WhatsApp language\n5. Click \"Analyze Chat\"\n\nWorks with both group chats and direct messages.\n\n## Project Structure\n\n```\nwhatsapp-chat-analyzer/\n├── streamlit_app.py          # Main application\n├── ui/                       # UI components\n│   ├── sidebar.py           # File upload, config, actions\n│   └── tabs/                # Tab components\n│       ├── overview.py      # Summary metrics\n│       ├── activity.py      # Time patterns\n│       ├── authors.py       # Author statistics\n│       └── content.py       # Word cloud, emojis\n├── src/whatsapp_analyzer/    # Core library\n│   ├── parsers/             # File reading\n│   ├── preprocessors/       # Data processing\n│   │   ├── language_config.py   # Language patterns\n│   │   └── message_processor.py # Message detection\n│   ├── analyzers/           # Statistical analysis\n│   ├── visualizations/      # Chart generation\n│   └── utils/               # Helper functions\n├── tests/                   # Test suite\n└── helpers.py               # Backwards compatibility\n```\n\n## Development\n\n### Install dependencies\n\n```bash\npip install -r requirements.txt\n```\n\n### Run locally\n\n```bash\nstreamlit run streamlit_app.py\n```\n\n### Run tests\n\n```bash\npip install -r requirements-dev.txt\npytest tests/ -v\n```\n\n## Tech Stack\n\n- **Streamlit** - Web interface\n- **Pandas** - Data processing\n- **Altair** - Interactive charts\n- **chat-miner** - WhatsApp parsing\n- **WordCloud** - Word cloud generation\n\n## Contributing\n\nIssues and pull requests welcome on [GitHub](https://github.com/koftezz/whatsapp-chat-analyzer).\n\n## License\n\nMIT\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkoftezz%2Fwhatsapp-chat-analyzer","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fkoftezz%2Fwhatsapp-chat-analyzer","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkoftezz%2Fwhatsapp-chat-analyzer/lists"}