Mayavi: a package for 3D visualization of scientific data

TL;DR

Mayavi is an open-source 3D visualization tool designed for scientific data, offering interactive and scriptable features to integrate seamlessly into scientific workflows.

Contribution

This paper introduces Mayavi, a versatile 3D visualization package with multiple interfaces and novel application capabilities tailored for scientific data analysis.

Findings

Provides easy-to-use interactive visualization tools

Supports scripting and application development

Demonstrates novel scientific applications

Abstract

Mayavi is an open-source, general-purpose, 3D scientific visualization package. It seeks to provide easy and interactive tools for data visualization that fit with the scientific user's workflow. For this purpose, Mayavi provides several entry points: a full-blown interactive application; a Python library with both a MATLAB-like interface focused on easy scripting and a feature-rich object hierarchy; widgets associated with these objects for assembling in a domain-specific application, and plugins that work with a general purpose application-building framework. In this article, we present an overview of the various features of Mayavi, we then provide insight on the design and engineering decisions made in implementing Mayavi, and finally discuss a few novel applications.