No project description provided
Project description
visualization:
Mayavi: A tool for easy and interactive visualization of data.
TVTK: A Traits-based wrapper for the Visualization Toolkit, a popular open-source visualization library.
These libraries operate at different levels of abstraction. TVTK manipulates visualization objects, while Mayavi2 lets you operate on your data, and then see the results. Most users either use the Mayavi user interface or program to its scripting interface; you probably don’t need to interact with TVTK unless you want to create a new Mayavi module.
Mayavi
Mayavi seeks to provide easy and interactive visualization of 3-D data. It offers:
An (optional) rich user interface with dialogs to interact with all data and objects in the visualization.
A simple and clean scripting interface in Python, including one-liners, or an object-oriented programming interface.
The power of the VTK toolkit, harnessed through these interfaces, without forcing you to learn it.
Additionally Mayavi is a reusable tool that can be embedded in your applications in different ways or combined with the Envisage application-building framework to assemble domain-specific tools.
Mayavi is a complete rewrite and far superior to MayaVi1 which is no longer maintained.
TVTK
TVTK wraps VTK objects to provide a convenient, Pythonic API, while supporting Traits attributes and NumPy/SciPy arrays. TVTK is implemented mostly in pure Python, except for a small extension module.
Developers typically use TVTK to write Mayavi modules, and then use Mayavi to interact with visualizations or create applications.
Prerequisites
You must have the following libraries installed before installing the Mayavi project:
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
File details
Details for the file mayavi-4.6.0.tar.bz2.
File metadata
- Download URL: mayavi-4.6.0.tar.bz2
- Upload date:
- Size: 7.0 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 19d27dad02a6dcc0aeec476bbbded9bab6fe958f4f1c824afaf58b3958ed836e |
|
| MD5 | 5be1efbb3b32febcef6de96bed792d87 |
|
| BLAKE2b-256 | ff051d38b1fd6ce1779e063b1f3a993552fb975e4e738ae197065f08b8c5f9fd |
