Generate interactive, beautiful and insightful chat analysis reports
Analyze Whatsapp chat
A simple WhatsApp Chat Analyzer ( for both Private & Group chats ), made with ❤️
Apply different analysis & data science tools on your Telegram / Whatsapp chat and get exciting insights!
WhatsApp Chat Analyzer is a Python-based project that allows you to analyze WhatsApp chats, whether they are individual or group chats.
Chatlytics - A WhatsApp chat analytics app that visualizes and summarizes your chat data to uncover insights like chat frequency, most active contacts, word usage, and more.
Applying data analysis to Telegram chat exports
Analyze Viber chat exports. Perform insightful analysis on chat data exported from the Viber messager.
Automatically generates Charts from your WhatsApp Chat
A Node.js tool that converts Telegram chat HTML exports to clean, structured Markdown for LLM analysis. Features include date filtering, message metadata preservation, and configurable output file sizes. Perfect for data analysis, training language models, and chat content archiving.
A python-based web app project to Analyze and Visualize your WhatsApp group chats. The analysis includes most active users, most active date, most active time, top 5 users, analysis of chat on any date, etc. 😊😊😊https://whatsappchatanalyzerr.herokuapp.com/
Real-time Twitch chat analysis application using Python (FastAPI, NLTK, VADER) for backend processing and React (TypeScript, WebSockets) for frontend visualization. Analyzes sentiment, keywords, and emotes (Twitch, FFZ, 7TV)
Code to analyze the WhatsApp chats and to give out some inferences
Analyse your exported Whatsapp Chat with Chatilysis!
A in depth data analysis and visualization on whatsapp chat.
A Python tool that analyzes WhatsApp chat exports to generate detailed statistics about messages, media usage, and temporal patterns. Features include message counts, media stats, call analysis, and most used words/emojis.
The WhatsApp Chat Analyzer is a Python-based tool built with Streamlit for analyzing WhatsApp chat data. It provides insights such as total messages, word count, media shared, links shared, monthly activity timeline, most active users, activity maps, and word clouds.
This project involves analyzing WhatsApp chat data to extract valuable insights. Using Python and various libraries like Pandas and Matplotlib, the project processes and visualizes chat statistics such as message frequency, most active participants, and sentiment analysis.
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