Welcome to GraphXplore!

About

GraphXplore is a tool for visually exploring, cleaning and transforming your data, as well as defining and sharing metadata and mappings with others. It can be used without prior coding/scripting skills and does not require advanced knowledge about statistics or data science. The tool was designed with the application to the medical research domain in mind, but can be generally used with any data source. An overview of GraphXplore functionalities can be found here.

Installation

The tool can be used as a standalone desktop tool with graphical user interface, local webserver, or as a Python package:

• Desktop tool: Releases can be accessed here
• Local webserver: Clone the GraphXplore repository, install streamlit with pip install streamlit, navigate to frontend/GraphXplore and run streamlit run streamlit_app.py
• Python package: Install from PyPi with pip install graphxplore, or checkout available versions. Take a look at the package documentation

For data exploration, GraphXplore uses Neo4J database management system for storage and graph-based visualization. A guide how to install it can be found here.