VIPS's a free image processing system. It aims to be about half way between
Excel and Photoshop. It's obviously much smaller than these two, but it's
not a toy either (about 200k lines of code). It's very bad at photo
retouching, but it's great (much better than programs like Photoshop, I
think) at all the other things you use photoshop for. It's particularly
good with large images (ie. images larger than the amount of RAM in your
machine), and for working with colour.
Piglit is a collection of automated tests for OpenGL and OpenCL
implementations.
The goal of Piglit is to help improve the quality of open source
OpenGL and OpenCL drivers by providing developers with a simple means to
perform regression tests.
The original tests have been taken from
- Glean ( http://glean.sf.net/ ) and
- Mesa ( http://www.mesa3d.org/ )
Wings3D is a OpenSource polygon mesh modeler inspired by Nendo.
It allows you to intuitively build a 3D mesh and even assign
materials to it.
Imgurpython is a Python client for the Imgur API. It can be used to
interact with the Imgur API in your projects.
3D Scientific Data Visualization and Plotting
The Mayavi project includes two related packages for 3-dimensional
visualization:
Mayavi: A tool for easy and interactive visualization of data, with
seamless integration with Python scientific libraries.
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 Mayavi 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.
The traitsui project contains a toolkit-independent GUI abstraction
layer, which is used to support the "visualization" features of the
Traits package. Thus, you can write code in terms of the Traits
API (views, items, editors, etc.), and let traitsui and your selected
toolkit and back-end take care of the details of displaying them.
The following GUI backends are supported:
* wxPython
* PyQt
* PySide