Open Source Python Information Analysis Software - Page 7

This program is a web application to collect and organize data of text analysis. It works with sets of texts and the analysis are done on portions of the length of a sentence. One of the preprocessing modules is based on CoGroo (A LibreOffice & OpenOffice.org Portuguese Grammar Checker).

This is a implementation of the 'enhanced Topic-based Vector Space Model' (eTVSM) using the python language. A Java-Version and maybe other java-code contributions are planned.

A tool for windows users, to determine the type of a file based on its content rather than it suffix.

Investigation the concept of speed knowledge acquisition through speed reading and visual display. The initial version should be based on the concept provided by Dictator and should be a variable speed reader, handling TeX formatted files. Project design

This software is an easy to use 2D mathematical function plotter.

ftc is a python script for content-based file type classification based on an file extension and magic number database, and several computational intelligence algorithms.

Python based webservice to manage and display information from some fiber-GISes.

gtkhst is a collection of GLib2 objects to compute statistics (mean, variance, correlations) in 1 and 2 dimensions and a set of Gtk2 widgets to display 1D and 2D histograms as well as trace plots showing the evolution with time of the monitored quantity

This project collect several data mining methods, such as: 1) clustering methods; 2) biclustering methods; 3) FCA methods and etc.

iDocs is a intellectual document work flow with text mining options project.

Search engine to help in user understanding of the concepts behind indexing, parsing, clustering, relevance feedback and ranking.

A Python tool which produced lifespan sequences from edits history. The tool is first developed for the Wikipedia edits history but can easily be adapted for others applications. From a database containing for each article its list of revisions, produce one csv file per article containing authored sequences and lifespans. Output format: i,j,lifespan,author with - i : begining of the chars sequence - j : end of the chars sequence - lifespan : number of edits the sequence has survives until the lattest revision - author : author id of the sequence.

A configurable knowledge management framework. It works out of the box, but it's meant mainly as a framework to build complex information retrieval and analysis systems. The 3 major components: Crawler, Analyzer and Indexer can also be used separately.

This project has moved to github at http://lmwtree.devries.ninja.

La P.A.P.A. (Python Alternative for Programming Astrophysics) want to give an alternative to the astrophysicists (and any one that use RSI-IDL) for start programming in Python using similar functions as IDL and at the same time learn the power of Python.

Libastat is a Python Library, which release some statistic functions for archaeological analyses

A collection of software made by Milos Rancic.

minITIL is an open source implementation intended to create a solid framework for building applications needed in real life deployments of Information Technology services based on ITIL framework.

This software presents a flexible and configurable proposal for monitoring and management of real and virtual HPC infrastructures, compatible with paradigm of cloud computing. We help you to answer: 1) What is the performance of my resources? 2) What equipment and resources do we have already? 3) What do we need to upgrade or repair? 4) What can we consolidate to reduce complexity or reduce energy use? 5) What resources would be better reused somewhere else? Status: PreAlpha, so any help shall be welcome. Made for LINUX. GNU General Public License version 3.0 (GPLv3)

Monte is machine learning in pure Python. Monte's focus is the construction of gradient based learning machines from many small components.

nBoost is a suite of boosting algorithms designed to solve binary classification problems on data that is not linearly separable by a convex combination of base hypotheses, i.e. noisy data. WARNING: Active development. Underlying algorithm is unstable.

A tool for autonomous and virtual topical data integration using the focused web-harvesting method.

A parser for patch (diff) files written as a Python module around the GNU patch code.

Real-time data visualization. Graphically view your data as it's being generated. Peakster is a very intuitive GUI written entirely in Python, which monitors data at regular intervals and uses gnuplot to render 2D, 3D and superimposed plots.

ptsa (pronounced pizza) stands for Python Time Series Analysis. A python module specifically designed with neural data in mind (EEG, MEG, fMRI, etc...), but applicable to almost any type of time series.