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Methods and testing of methods for automatic analysis of in situ cyclic
voltammetry data.
This, at least initially, is the code from my masters thesis, which was
done as a contribution to a larger project called Aevum. Aevum is being
developed at t
GraphicalOSfp is a python application which aims to collect random data issued by remote systems in IP and TCP sequences. These data are then displayed in a 3D referencial to highlight an attractor of the random engine of the remote machine.
Regexp testing tool allows to apply group of regexps to huge arrays of data (millions or so) in order to investigate search or search/replacement possibilities of regexp group.
A set of command line tools to extract, manipulate, and present multidimensional data. These tools are targeted specifically at summarizing results of simulation experiments.
library for capturing, storing and visualizing timeseries data
The JTimeSeries has moved to github
Please go to https://github.com/JTimeSeries/jtimeseries
The SourceForge copy has not been maintained since Sep 2012
A java library to assist with capturing and storing timeseries data/metrics. Provides facilities to publish timeseries data across a network, a lightweight server to persist series data, and client user interface components for real time visualization
ngram is a module to compute the similarity between two strings. It is different to python's "difflib.SequenceMatcher" in that it cares more about the size of both strings. ngram is an port and extension of the perl module called "String::Trigram
Content Addressable Memory, Multi-Variate Statistics, Data Mining Includes analyzing datasets, extracting patterns, creating empirical expert system. Computes joint probabilities and implements a "belief" as the solution of an equilibrium equation
This is a fast C implementation of Arturo Camacho's SWIPE' pitch extraction algorithm. See the project homepage for more about the advantages of the SWIPE' algorithm. swipe-1.0.tar.gz contains the current source, which should compile quite neatly.
APLpy (the Astronomical Plotting Library in Python) is a Python module aimed at producing publication-quality plots of astronomical imaging data in FITS format. Visit http://aplpy.sourceforge.net/ for tutorials and documentation.
JGraph is the most powerful, lightweight, feature-rich, and thoroughly documented open-source graph component available for Java. See the project homepage at www.jgraph.com for information and downloads.
Ontea - Pattern based Semantic Annotation Platform. Ontea search or create semantic meta data from text or documents using pattern based approaches. Implementation currently includes regular expressions (regex) patterns
ESML is an interchange technology that utilizes external metadata to allow applications to plug and play seamlessly with Earth Science specific datasets in heterogeneous formats.
Data mines the voting record and other actions of Members of the UK Parliament. Extracts information from the parliament website and stores it in a database. Provides tools to analyse the information, producing statistics and tables about the MPs.
DTMF detector library and/or application that reads in the specified audio file and returns/outputs whether DTMF detected and/or list of detected digits. May have GUI and command line interfaces.
ATpy (Astronomical Tables in Python) is a Python module aimed at dealing with tables of astronomical data with a common API. To date, the following formats are supported: FITS, VO, and IPAC tables, and SQLite, MySQL, and PostgreSQL databases
--UPDATE-- New Version is now integrated in the official PyMOL plugin repository! --UPDATE--
The BNI (Beyond Normal Interaction)- Tools is a plug in for the PyMOL molecular visualization system which adds additional functionalities and presets to the PyMOL GUI and also adds useful extended commands.
DIVAT (Diagnostic Immunohistochemistry Visualization and Analysis Tool) is designed to graphically analyse comprehensive data sets of immunohistochemical results as those used in clinical diagnostic pathology.
OpenDWS is a hobby project to create a datawarehousing suite that: - Can work on different OS - Federates databases - Can run Data analyses using plugins on different databases This project is programmed in Python Language.
PerfParse. Storage and analysis of binary performance data produced by Nagios. High quality accurate graphs of live data from standard Nagios plugins. Permanent history of plugin results with advanced analysis tools.
Using the Mean Machine, even very large EEG data sets can be analyzed (artifact detection, evoked potentials, frequency analysis, ect.). It is a Matlab GUI application, which can also be run via the command line without GUI-support.