Dataverse

Data Visualisation Software & Finance Tracker

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Table of Contents

About Dataverse	Application Preview	Versions	Repository Structure	Use Dataverse	Make Contributions	Website

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Featured In

Event Logo	Event Name
	Social Winter of Code Season-5 (SWOC) 2024-2025
	GirlScript Summer of Code Ext (GSSoC'24) 2024
	Hacktober Fest 2024

What does this software do?

• Supports all data visualisation techniques, basic as well as advanced.
• Generates interactive, customizable and exportable graphs.
• Provides data storage for later use.
• Supports data inputs from excel sheets.
• Simplifies expense tracking and financial management.
• Allows user to download financial reports.
• Uses encryption techniques to securely store your passwords.
• View and manage data via a mobile-friendly website.
• Provides predictive analytics and trend analysis using ML techniques.

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Preview

Software GUI

View More

Software Home Page


Visualised Data


Stored Data

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Versions

Version	Description
v.XM45.24 Under Development	High scale installable vesrion currently being developed, has improved UI based on glassmorphism. Makes the project mobile-friendly and provides more analytical features. Seeks major contributions through SWOC-S5.
v.6550.24 Latest	Current stable version that supports most of the data visualisation techniques and finance tracking. Major development done during GSSoC'24.
v.06.02.24	Initial version developed on 6th February, 2024. Only supports finance tracking.

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Repository Structure

📂 View Repository Structure

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Deployment Specifications

I. Navigate to the directory where you want to deploy the dataverse application and open terminal or command prompt there.

II. Run the following commands in terminal:

git clone https://github.com/multiverseweb/Dataverse.git

III. Create a Virtual Environment (optional but recommended)

• On Windows:

  python -m venv venv
  venv\Scripts\activate
  

• On macOS/Linux:

  python3 -m venv venv
  source venv/bin/activate
  

IV. Install dependencies:

cd Dataverse

pip install -r installation/requirements.txt  

V. Install MySQL if you don't have it already from here.

Important

Change the values of DB_HOST, DB_USER and DB_PASSWORD in software/db_config.py file according to your MySQL account.

VI. Run the application:

python software/main.py

VII. To Run index.html (For Website Development)

1. Install the Go Live extension in VS Code.
2. Open the index.html file in VS Code.
3. Click on the Go Live button in the bottom-right corner of VS Code.

The default URL will be:
http://localhost:5500/Dataverse/index.html

Now, the software should run smoothly with no errors, feel free to use the software and don't forget to give feedback on Dataverse's website!

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Star History

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Contributions

Want to make contributions to this project? ✨

Read contribution guidelines!

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Our Valuable Contributors ❤️

Stargazers ⭐

Forkers 🍴

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Website

	Visit Dataverse's Website

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