Open Source Mac Information Analysis Software - Page 6

Automotive Quality complaint Management to record Customer incident with all data, including reporting and easy serching. It is designed to use for technically automotive Customer complaints and to use as less screens as possible.(Automobil Reklamation)

This is a computer forensics useful tool written in bash script for Linux systems. It's fast and selective, you can retrieve all the files of the file type you choose with only one tool referenced, deleted and unallocated in very fast way.

Open extensible system analysis report tool for Java, based on numerous open source analysis initiatives. The XML/XSL batch-processing framework produces integrated HTML/SVG reports of the systems current state and the development over time.

The new site is at http://psychometricon.net/libirt/ Library of functions to estimate the items and abilities from the responses of subjects to a questionnaire. The IRT models supported are the logistic model, the multivariate logistic model, the graded model and smoothing by penalization and kernel.

Qspline does quaternion interpolation such that the quaternion and angular rate and acceleration vectors are continuous functions of time, while maintaining quaternion normalization.

AWclust is easy to use non-parametric population structure analysis software written for R with a GUI interface. Just point and click and you will be on your way to discovering the important cluster information in your SNP data sets.

AutoSummary uses Natural Language Processing to generate a contextually-relevant synopsis of plain text. It uses statistical and rule-based methods for part-of-speech tagging, word sense disambiguation, sentence deconstruction and semantic analysis.

Kohonen neural network library is a set of classes and functions for design, train and use Kohonen network (self organizing map) which is one of AI algorithms and useful tool for data mining and discovery knowledge in data (http://knnl.sf.net).

ELIA(Eyegaze Language Integration Analysis) supports the analysis of eye-tracking data for studies in language processing. ELIA eases early analysis of data to enable iterative development of experiments in response to spoken language.

EyeMap is a visualization and analysis tool for text reading eye movement data. It can process Unicode, proportion/non-proportion and spaced/unspaced reading materials, which supports various languages and experiment methods.

This tool is about a method called "process-oriented decision tables". These are decision tables but different from "normal" decision tables. They fix the flaws of traditional decision tables making it a joy to work with. But they keep all benefits of traditional decision tables. First of all they present the logic in a very dense form. 1. Explore all possible combinations of conditions and actions by question-and-answer. 2. Have a compact one-sheet-view on complex logic. 3. Have abandoned combinations documented. 4. Make sure that your decision table is (formally) neither incomplete nor inconsistent with one click. And the mathematics behind it is very easy and well documented ;-) 5. Get the test cases necessary to test your piece of logic with one click. 6. Other than in traditional decision tables, you can mix conditions and actions. => Stop to to rack your brain - start using process-oriented decision tables! <=

A windrose, also know as polar rose plot, is a special diagram for representing the distribution of meteorological datas, typically wind speeds by class and direction.

Yet Another Audio Feature Extractor is a toolbox for audio analysis. Easy to use and efficient at extracting a large number of audio features simultaneously. WAV and MP3 files supported, or embedding in C++, Python or Matlab applications.

ACCORD is a C library for composition of scanning electron or helium-ion microscope images with correction of drift. It produces significantly more accurate images than the traditional imaging techniques and also provides drift trajectories.

Libagf is a machine learning library that includes adaptive kernel density estimators using Gaussian kernels and k-nearest neighbours. Operations include statistical classification, interpolation/non-linear regression and pdf estimation. For statistical classification there is a borders training feature for creating fast and general pre-trained models that nonetheless return the conditional probabilities. Libagf also includes clustering algorithms as well as comparison and validation routines. It is written in C++.

The goal of project is delivering useful and simple tools to creating charts. Functionality is provided by modules/plugins (OSGi technology). It allows you to create your plugins or customize Analysis application (by changing installed plugins in application). The Application, thanks to JAVA technology, is portable on the most operating system. In Files page you can find the application and also patches to its.

Set of Ant filters that can be used to gather statistics from files or resources. It is mainly used for log files analysis. It allows to: - count inputs - count occurrences of each input - calculate average, max and min values of floats in input

AraMorph is an Arabic morphological analyzer and part-of-speech tagger.

Based on the Buckwalter Morphological Analyzer (Version 1.0) for doing Arabic stemming and POS tagging. Includes a rewrite of the original Perl script, with better documentation and more flexible options, and a C++ interface (usable as a library or app).

Architecture model items and symbols useful when modelling a rail system. Model stored as XMI for use in tools.

BRAHMS is a Modular Execution Framework for dynamical systems. It knits together independently-authored software modules implementing dynamical processes into an integrated system, and supervises the deployment and execution of that system.

BioNLP-Corpora is a repository of biomedically and linguistically annotated corpora and biomedical data sources. There are many resources available in separate packages in this project.

Buildes is an integrated development environment that assists the user in creating building information. It reads a text (session) file from which it compiles the information. It then allows the user to browse, analyze and export the resulting building knowledge. The compilation system is written in pure Python. The building components created are rendered in PythonOCC. The GUI is written using PyQt.

CVSharp (aka Computer Vision in C#) is a Computer Vision project. Until the present day just one part of the whole project was actually developed. It's called CVSharp Lab, an Image Processing Tool.

A programming language designed for searching and manipulating tree-structured data, particularly corpora of natural languages encoded in an s-expression-like format.