This repository contains a Streamlit applet that performs analysis of Telegram channels. The purpose of the applet is to help users gain insights into the attendance of the channel, number of users, messages, hours of activity, and other relevant metrics. Technology Stack
The applet uses Streamlit for the frontend, Python for the backend, and SQLite for the database.
The main feature of this applet is the ability to analyze multiple Telegram channels in one application.
Anyone can use this applet by downloading the code and running it on their local machine. Users must provide their own data.sqlite file for the applet to function properly.
Contributions to this repository are welcome via pull requests. Users can suggest new features and metrics by creating an issue.
Future plans for this repository include the addition of new metrics and the ability to upload data.sqlite files directly from the applet.