The Visualization Toolkit (VTK) is an open-source, freely available software system for 3D computer graphics, image processing and visualization. VTK consists of a C++ class library and several interpreted interface layers including Tcl/Tk, Java, and Python.
an Open Source Probabilistic Information Retrieval library, a highly adaptable toolkit to allow developers to easily add advanced indexing and search facilities to their own applications.
a modern alternative to object middleware such as CORBA™ or COM/DCOM/COM+. Ice is easy to learn, yet provides a powerful network infrastructure for demanding technical applications.
a way of representing structural information as diagrams of abstract graphs and networks. Automatic graph drawing has many important applications in software engineering, database and web design, networking, and in visual interfaces for many other domains
provides free peer-reviewed portable C++ source libraries. The emphasis is on libraries which work well with the C++ Standard Library. The libraries are intended to be widely useful, and are in regular use by thousands of programmers across a broad spectr
open source high performance realtime 3D engine written and usable in C++ and also available for .NET languages. It is completely cross-platform, using D3D, OpenGL and its own software renderer.
a 3D engine: a library of subroutines for 3D rendering and game development. The library is C++ with a set of Python bindings. Game development with Panda3D usually consists of writing a Python program that controls the the Panda3D library.
an event-driven networking framework supports TCP, UDP, SSL/TLS, multicast, Unix sockets, a large number of protocols (including HTTP, NNTP, IMAP, SSH, IRC, FTP, and others)
an interface for array-oriented data access and a library that provides an implementation of the interface. The netCDF library also defines a machine-independent format for representing scientific data.
a robust, somewhat scalable, cross-platform client-server messaging system for dynamic distributed applications that runs under any POSIX-compliant operating system.
it is possible to execute Python code at speeds approaching that of fully compiled languages, by "specialization". The current prototype operates on i386-compatible processors and shows 2 to 100 times speed-ups, depending on code.
a Free C++/Python GIS Toolkit for developing mapping applications. Above all Mapnik is about making beautiful maps. It is easily extensible and suitable for both desktop and web development.
Great reference with many open-source useful plotting and visualization tools Over the years many different plotting modules and packages have been developed for Python. For most of that time there was no clear favorite package, but recently matplotlib has become the most widely used. Nevertheless, many of the others are still available and may suit your tastes or needs better. Some of these are interfaces to existing plotting libraries while others are Python-centered new implementations.
GDAL - Geospatial Data Abstraction Library Select language: [English][Russian][Portuguese][French/Francais] GDAL is a translator library for raster geospatial data formats that is released under an X/MIT style Open Source license by the Open Source Geospatial Foundation. As a library, it presents a single abstract data model to the calling application for all supported formats. It also comes with a variety of useful commandline utilities for data translation and processing. The NEWS page describes the November 2009 GDAL/OGR 1.6.3 release.
Pinax is an open-source platform built on the Django Web Framework. By integrating numerous reusable Django apps to take care of the things that many sites have in common, it lets you focus on what makes your site different.
Fast Artificial Neural Network Library is a free open source neural network library, which implements multilayer artificial neural networks in C with support for both fully connected and sparsely connected networks. Cross-platform execution
This library provides Python functions for agglomerative clustering. Its features include * generating hierarchical clusters from distance matrices * computing distance matrices from observation vectors * computing statistics on clusters *