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Instapy Dashboard

(discontinued) InstaPy Dashboard developed using React.js and Node.js

Instapy Dashboard

(discontinued) InstaPy Dashboard developed using React.js and Node.js

Author Avatar Theme by converge
Github Stars Github Stars: 218
Last Commit Last Commit: Sep 17, 2021 -
First Commit Created: Aug 27, 2024 -
Instapy Dashboard screenshot
## Overview
The InstaPy-Dashboard project aimed to provide users with a robust visualization tool for monitoring their Instagram automation activities. Although the project has unfortunately been discontinued, it showcased promising features that significantly enhanced user experience by delivering real-time statistics and logs. Those who managed to use it appreciated the streamlined interface and the insightful statistics provided.

While the setup processes for different operating systems varied, the installation was designed to be user-friendly, making it accessible even for those who might not have extensive technical expertise. Users could leverage Docker or install the necessary dependencies directly on their system, leading to a flexible configuration that could adapt to various environments.

## Features
- **Cross-Platform Compatibility**: Supports installation on macOS, Linux, and Windows, allowing users to run the dashboard on their preferred operating system.
- **Real-Time Monitoring**: Users could view live logs and statistics, providing insight into their Instagram automation's performance and activity.
- **User-Friendly Setup**: The installation process included clear instructions for setting up project dependencies and configuring the environment, simplifying initial project setup.
- **Docker Support**: For those familiar with containers, Docker deployment offered an efficient way to run the application without conflict with local environments.
- **Environment Configuration**: The ability to create custom `.env` files enabled users to tailor the dashboard to their specific needs and setups easily.
- **Activity Statistics**: The dashboard presented engaging visual data, helping users track their progress and adjust their strategies accordingly.