Search Results for "python windows ui" - Page 4
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Showing 144 open source projects for "python windows ui"
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This project goal is to provide a way to get screenshot and channels data from digital storage oscilloscope.
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A univariate and multivariate analysis UI. This project is no longer under development. Please use as you wish.
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Python module to interface the CLIPS expert system shell library.
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FreeBrain will be an application for the analysis of 2D neurophysiological signals, like heart-rate, EEG or eyemovements. It is aimed at those who want intuitive or free software and those who want a customizeble tool that can handle mixed datasets.
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A Python function library to extract EEG feature from EEG time series in standard Python and numpy data structure. Features include classical spectral analysis, entropies, fractal dimensions, DFA, inter-channel synchrony and order, etc.
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ConDEnSE (Confidential Data Enabled Statistical Exploration) will be a web-based environment for statistical analysis of confidential data from various database sources, based on Plone and R, and using the Jackknife method of confidentiality protection.
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This is a neat little tool to visualize binary data in a graphical form. It's really interesting to look at different types of files.
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Augustus
PMML-compliant scoring engine and analytic toolkit
Augustus development has moved to google code. The new project page is augustus.googlecode.com. New releases of the project are not currently being released to sourceforge. Augustus is designed for statistical and data mining models and produces and consumes models with 10,000s of segments. Versions of Augustus support PMML 3, 4.0.1, and 4.1. -
Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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Helps compatibility with Vernier's Graphical Analysis and Logger Pro software. Includes a converter to extract important data out of Vernier .ga3 and .cmbl data files, and spreadsheet to analyze the data with tables, graphs, and curve fitting.
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The Simple Versatile Plotting (SVP) tools create camera-ready plots of performance analysis data gathered from high performance computing (HPC) applications.
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A lightweight, browsing-based, 100% Python, federated data integration framework. Users may create custom schemas for disparate sources, query and expand results across sources to find related data; for use in fields such as bioinformatics and datamining
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StrATo (Strain Analysis Tool) loads GE Vingmed heart strain value reports file and performs a statistical peak analysis and curve uniformity evaluation, cutting off sampled noise, plotting results and offering a printout to attach in medical reports.
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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.
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Cotnatex is a cognate - tool for the university of Heidelberg. Written by Peter Kostadinov and Dyanko Dyankov.
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ThoughtFlow-Sys is a new computer neuropsychological test developed in Python to study the verbal expression of thought flow, using a modification of Jung´s Word-Association Test. © 2008 - UNIFESP / Rodrigo C. Vertulo / Prof. Dr. Carlos J. R. Campos
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A set of services to allow for polling remote sites for data, displaying it on the local machine requesting said data, and moving that data anywhere else it needs to go.
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The Stats Jam project is an extension to Mediawiki that allows users to embed database queries and visualisations into their wiki pages.
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The Serial Data Acquisition is a lightweight data acquisition system able to parse a vast majority of mostly unidirectional streams. Results are saved in a SQLite DB and accessible over XML-RPC or plain HTTP. Its design is modular and easily extendable.
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This is a Python package designed to process Penn Treebank Release II-style combined trees (.mrg files) into useful objects for tree traversal, feature extraction, and statistical analysis. For more information, go to http://mrgutils.sourceforge.net
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The Model Interaction Environment for Neuroscience provides tools for development, searching, editing, execution, and visualization of biophysical models, abstract mathematical models, and experimental protocols used in neuroscience research.