PCP (Pattern Classification Program) is a machine learning program for supervised classification of patterns. It runs in interactive and batch modes, and implements the following machine learning algorithms and methods: k-means clustering, Fisher's linear discriminant, dimension reduction using Singular Value Decomposition, Principal Component Analysis, feature subset selection, Bayes error estimation, parametric classifiers (linear and quadratic), pseudo-inverse linear discriminant, k-Nearest Neighbor method, neural networks, Support Vector Machine algorithm (SVM), model selection for SVM, cross-validation, and bagging (committee) classification.
The NCAR Command Language (NCL) is a programming language designed specifically for the access, analysis, and visualization of data. It can be run in interactive or batch mode, and includes features common to modern languages, including types, variables, operators, expressions, conditional statements, loops, and functions and procedures, and also functions to handle the manipulation of metadata, the configuration of output graphics, the importing of data from a variety of formats, and an algebra that supports array operations. Many useful functions and procedures for processing and manipulating data are included.
Octaviz is a visualization system for Octave. It is a wrapper that makes all VTK classes accessible from within Octave using the same object-oriented syntax as in C++ or Python. It also provides high-level functions for 2D and 3D visualization. Using those functions, most common visualization tasks (3D surface plots, contour plots, meshes, etc.) can be accomplished without any knowledge about VTK.
XMMS Announcer is a simple utility that neatly prints the current track playing in XMMS. It has optional command line arguments that allow for more detailed information about the track. The unique feature is that it allows for an easily customizable output string format, which is done by using the -f switch on the command line.
Outwit is a suite of tools based on the Unix tool design principles allowing the processing of Windows application data with sophisticated data manipulation pipelines. The outwit tools offer access to the Windows clipboard, the registry, the event log, relational databases, document properties, shell links, and the event log.
Oink is a collaboration of backends for the Elsa C and C++ frontend. It aims to be industrial-strength for immediate utility in finding bugs, extensible for ease in adding backends, and composable for ease in combining existing ones. It computes expression-level and type-level data flow, and statement-level intra-procedural control flow (by delegating to Elsa). It's easy to get started by using the two demo backends that print graphs of these flows. It also comes with a client of the data flow analysis that does type qualifier inference: Cqual++, a C/C++ frontend for Cqual. Whole-program analyses may be attempted using the linker imitator.
AMLET is software designed to estimate multinomial and mixed logit discrete choices models, which are increasingly popular in econometry. The software supports cross- sectional and panel data, and offers various optimization methods, including the new variable sample-size approach.
Urwid is a Python library for making text console applications. It has many features including fluid interface resizing, support for UTF-8 and CJK encodings, standard and custom text layout modes, simple markup for setting text attributes, and a powerful, dynamic list box that handles a mix of widget types. It is flexible, modular, and leaves the developer in control.