Search Results for "data.6bin" - Page 14
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Showing 729 open source projects for "data.6bin"
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SaberNet DCS is a labor data collection system, designed to allow organizations to rapidly capture their labor data in real-time. Optimized for bar code input, DCS is the perfect way to automate and improve the accuracy of your time tracking.
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Collaborative Computing Project for NMR
Collaborative Computing Project for NMR (CCPN)
The Collaborative Computational Project for NMR (CCPN) provides tools and knowledge to maximise the impact of the biological NMR studies. The CCPN software facilitates data analysis and software integration. The project actively promotes the exchange of knowledge and provides training and best practices for the NMR community. CCPN also has a leading role in the development of a NMR data-sharing standard and coordination of NMR instrumentation proposals for RCUK and BIS. The 28 partners of CCPN jointly cover all aspects of biomolecular NMR and together they promote excellence in science in their respective fields. -
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Pi-Trav
An interactive pi walk.
A simulation and visualization of random walks based on the digits pi. This program also has a settings menu. -
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PyVE
PyVE is image analysis and visualization environment
PyVE is image analysis and Visualization Environment focused at clinical use. At the core of it there is a powerful viewer for displaying 3D datasets (MRI, PET, CT) based on VTK. It all comes precompiled allowing painless access to Python (2.x), the ITK toolkit for image analysis, numpy/scipy for numerical calculations, Qt and PyQt4 for the development Graphical User Interfaces. It is what you need for fast prototyping and development of more complex projects. -
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Flask JSONDash
Build complex dashboards without any front-end code
...The dashboard layout and blueprint styles are pre-packaged, and provide only the essentials, while getting out of the way. Drag-and-drop your layout easily and intuitively. Multiple layout modes - bootstrap grid-based or totally freeform. Data utilities for munging and manipulating data suitable for various charts. -
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DSTK - DataScience ToolKit
DSTK - DataScience ToolKit for All of Us
...Of course you may specify JASP for advanced data editing and RapidMiner for advanced prediction modeling. DSTK is written in C#, Java and Python to interface with R, NLTK, and Weka. It can be expanded with plugins using R Scripts. We have also created plugins for more statistical functions, and Big Data Analytics with Microsoft Azure HDInsights (Spark Server) with Livy. -
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ViTables, a GUI for PyTables
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PyDaMelo
Python-compatible Data mining elementary objects
An attempt at offering machine learning and data mining algorithms at the finest grain we are able to, easy to combine together through Python scripting to glue together the Lego-like bricks. -
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X-SOCS
X-ray Strain Orientation Calculation Software
The X-ray Strain Orientation Calculation Software (X-SOCS) is a user-friendly software, developed for automatic analysisof 5D sets of data recorded during continuous mapping measurements. X-SOCS aims at retrieving strain and tilt maps of nanostructures, films, surfaces or even embedded structures. For more information: http://scripts.iucr.org/cgi-bin/paper?S1600576714004506 To download the latest version of XSOCS (D. Naudet, T. Vincent, M.I. Richard, G. Chahine), follow the instruction in the following link: https://gitlab.esrf.fr/kmap/xsocs You can find on youtube video tutorials explaining the main steps to follow for a standard KMAP data analysis. ... -
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Matplotlib is a python library for making publication quality plots using a syntax familiar to MATLAB users. Matplotlib uses numpy for numerics. Output formats include PDF, Postscript, SVG, and PNG, as well as screen display. As of matplotlib version 1.5, we are no longer making file releases available on SourceForge. Please visit http://matplotlib.org/users/installing.html for help obtaining matplotlib.
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Krisk
Statistical Interactive Visualization with pandas+Jupyter integration
Krisk brings Echarts to the Python Data Science Ecosystem, and helpful tools for high-level statistical interactive visualization. -
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CorNetMap
A tool for Gene Expression Correlation Network
Capabilities of CorNetMap: 1. Read data as tab-delimited text file. Can be used for analysis of any data set beyond gene expression. 2. Capable of both two-dimensional and multidimensional data analysis. 3. Calculate Pearson correlation and cross-correlation for analysis data with phase difference. 4. Generate correlation Heat-map and draws network map. 5. Save correlation data as text file. -
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Taurus
A python based User Interface library.
The Taurus Project has *moved* to: https://github.com/taurus-org/taurus This SourceForge page is *outdated* and kept for historical reference only. Taurus is a python framework for control and data acquisition CLIs and GUIs in scientific/industrial environments. It supports multiple control systems or data sources: Tango, EPICS, ... New control system libraries and data sources can be integrated through plugins. -
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GreenHop
Energy and environmental monitoring of the server room
...Thus, we aim to provide ambiental monitoring of the Data Center server room while we keep the system to be customizable to implement and replicate. -
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colorview2d
Extendible 2D color plotting tool.
Visualize and analyze 3D data files using 2D colorplots. Inspired by spyview. Written in python. -
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pyEBSD-GUI
A free software to post-process EBSD data.
pyEBSD-GUI is a free software to post-process Electron Backscatter Diffraction (EBSD) data, inducing IPF mapping, image quality mapping, phase mapping etc, plotting pole figure, data segmentation, statistic analysis of the misorientation distribution etc. The software is written by python, and it supports both script and graphic user interface (GUI). pyEBSD V1.0 will be released soon. -
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PyVib2 is a program for analyzing vibrational motion and vibrational spectra. It is an open source "all-in-one" solution for scientists working in the field of vibrational spectroscopy (Raman and IR) and vibrational optical activity (ROA and VCD).
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MerDAQ
A DAQ solution in Python 2 for your Ardruino
MerDAQ is a data acquisition GUI and other tools for collecting and storing time dependent. Originally designed to collect 4 temperature data vs. time and plot one of the temperatures in real time with matplotlib. Ideal for use with Arduino. -
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Waterloo
Java-based scientific graphics
Java-based scientific graphics with support for Java, Groovy, MATLAB, Python, the R statistical environment, Scala and SciLab. -
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Pyclamp
A Python package used to extract and analyse electrophysiological data
Pyclamp is Python package used to extract and analyse electrophysiological data. A graphical user interface has been developed to allow a user to run the pack- age without requiring any knowledge of Python code. Presently, Pyclamp is designed to perform very specific forms of analysis on evoked synaptic responses: Data analysis (under development) : This is a highly user-interactive en-vironment that can be used to discriminate synaptic events, obtain various measures of their kinetics and size, and output the results. ... -
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Py3DN
Morphometric analysis and visualization of the 3D structure of neurons
...The application was developed in Python and uses Blender (an open source program) to produce detailed 3D representations of raw and processed data. Py3DN is described in the paper: Aguiar P et al, "Versatile morphometric analysis and visualization of the three-dimensional structure of neurons", Neuroinformatics, 2013, 11(4):393-403 doi: 10.1007/s12021-013-9188-z -
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Creates interactive plots of data lines over a time scale. Automatic detection of input format and scale will result in instantaneous results without any need for configuration.
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QAL
Query Abstraction Layer
...This means that QAL can be backend agnostic about a subset of SQL features and data types. Of course custom SQL:s are also supported. It is currently distributed as a Python 3 Library (pip3 install python3-qal) and Debian .deb package. It is related the Optimal BPM project, see its Optimal Sync application for usage examples. The text of this page is released under the Creative Commons Zero Waiver 1.0 (CC0).
