Tecplot 360 vs Mayavi

Struggling to choose between Tecplot 360 and Mayavi? Both products offer unique advantages, making it a tough decision.

Tecplot 360 is a Science & Engineering solution with tags like data-visualization, 3d-visualization, analysis, plotting, animation.

It boasts features such as 2D and 3D visualization, Interactive plotting and animations, Import data from CAD, CFD, FEA, and other technical formats, Process large datasets, Customize plots with multiple axes, legends, color maps, Analyze data with filters, slices, mathematical operations, Custom scripting and analytics, Batch processing and automation, Share results through images, animations, PDF reports and pros including Powerful visualization capabilities, Handles large and complex datasets, Extensive import and export options, Customizable and programmable, Good for both interactive use and batch processing.

On the other hand, Mayavi is a Science & Engineering product tagged with 3d, visualization, plotting, scientific, data.

Its standout features include 3D scientific data visualization, Volume rendering, Surface plots, Contour plots, Vector field visualization, Scalar field visualization, Customizable modules, and it shines with pros like Open source, Built on VTK and NumPy, Easy to use Python API, Good performance, Wide range of visualization options, Scriptable workflows, Extendable with custom modules.

Feature	Tecplot 360	Mayavi
Overall Score	N/A	N/A
Primary Category	Science & Engineering	Science & Engineering

Product Overview

Tecplot 360

Description: Tecplot 360 is a comprehensive data visualization and analysis software for engineers and scientists. It allows importing, processing, analyzing, and visualizing technical data in 2D and 3D. Key features include interactive plotting, animations, custom analytics, and publishing.

Mayavi

Description: Mayavi is an open-source, 3D scientific data visualization and plotting Python library built on top of VTK and NumPy. It provides easy ways to visualize scalar, vector and tensor data fields in Python.

Key Features Comparison

Tecplot 360 Features

• 2D and 3D visualization
• Interactive plotting and animations
• Import data from CAD, CFD, FEA, and other technical formats
• Process large datasets
• Customize plots with multiple axes, legends, color maps
• Analyze data with filters, slices, mathematical operations
• Custom scripting and analytics
• Batch processing and automation
• Share results through images, animations, PDF reports

Mayavi Features

• 3D scientific data visualization
• Volume rendering
• Surface plots
• Contour plots
• Vector field visualization
• Scalar field visualization
• Customizable modules

Pros & Cons Analysis

Tecplot 360

Pros

• Powerful visualization capabilities
• Handles large and complex datasets
• Extensive import and export options
• Customizable and programmable
• Good for both interactive use and batch processing

Cons

• Steep learning curve
• Expensive licensing model
• Limited collaboration features

Mayavi

Pros

• Open source
• Built on VTK and NumPy
• Easy to use Python API
• Good performance
• Wide range of visualization options
• Scriptable workflows
• Extendable with custom modules

Cons

• Steep learning curve
• Limited documentation
• Not as feature rich as some commercial packages
• Some stability issues
• Development has slowed in recent years

Pricing Comparison

Tecplot 360

• Subscription-Based
• Pay-As-You-Go

Mayavi

• Open Source