whatsapp-chat-analyzer and Whatsapp-Chat-analysis

These are competitors—both provide standalone Streamlit dashboards for WhatsApp chat analysis with overlapping functionality (visualization, statistics, activity prediction), requiring users to choose one implementation over the other rather than use them together.

Whatsapp-Chat-analysis
27
Experimental
Maintenance 6/25
Adoption 4/25
Maturity 16/25
Community 17/25
Maintenance 2/25
Adoption 4/25
Maturity 7/25
Community 14/25
Stars: 8
Forks: 9
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stars: 5
Forks: 3
Downloads:
Commits (30d): 0
Language: Python
License:
No Package No Dependents
No License Stale 6m No Package No Dependents

About whatsapp-chat-analyzer

eliterks/whatsapp-chat-analyzer

A powerful Streamlit web application that analyzes WhatsApp group chat data to generate insightful visualizations, statistics, and predicts whether a user is highly active (1) or not (0) using machine learning models.

This tool helps analyze your WhatsApp group chat history to understand communication patterns and identify key contributors. You input an exported WhatsApp chat text file, and it generates visual reports showing monthly/daily activity, popular words, frequently used emojis, and even predicts which members are highly active. This is ideal for community managers, team leads, or anyone managing a WhatsApp group who wants to gain insights into member engagement and group dynamics.

community-management group-analytics engagement-metrics social-media-analysis team-communication

About Whatsapp-Chat-analysis

subhadipsinha722133/Whatsapp-Chat-analysis

🤖 Whatsapp-Chat analysis This project provides an interactive dashboard to analyze WhatsApp chat data.

Scores updated daily from GitHub, PyPI, and npm data. How scores work