Holographic Visualisations

pyReality is a Python library that lets users rapidly create immersive data visualisations in Jupyter Notebooks. pyReality leverages WebXR to render mixed reality visualisations in browsers making them more accessible. Once created, these visualisations can be viewed using a head-mounted display and configured via the Jupyter Notebooks' interface.

Get started by using the examples provided in the documentation.

Install pyReality View on GitHub

Data Scientist?

Rapidly visualise data in immersive environments

Creation

Rapidly create immersive data visualisations from your Jupyter Notebooks interface and view it using an HMD.

Configuration

Visualisation specifications can be controlled from the GUI or via Python code in Jupyter Notebooks.

Performance

Built with VRIA, D3.js and Babylon.js, pyReality utilises WebGL to render large datasets quickly and efficiently.

Visualisation Types

Choose from three visualisation types based on your data and analysis requirements.

Immersive Scatter Plot

pyReality uses Babylon.js to render an immersive scatterplot. While still in its infancy, the scatter plot allows users to configure basic parameters like input data, colour, size etc.

3D Bar Chart

pyReality uses VRIA to render 3D bar charts. The bar chart allows users to configure advanced parameters provided by VRIA based on Vega-lite grammar.

3D Scatter Plot

pyReality uses VRIA to render 3D scatter plots. The bar chart allows users to configure advanced parameters provided by VRIA based on Vega-lite grammar.

Make your data immersive