Search Results for "open ssh windows" - Page 7
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Showing 222 open source projects for "open ssh windows"
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Red Hat Enterprise Linux (RHEL) on Microsoft Azure provides a secure, reliable, and flexible foundation for your cloud infrastructure. Red Hat Enterprise Linux on Microsoft Azure is ideal for enterprises seeking to enhance their cloud environment with seamless integration, consistent performance, and comprehensive support.
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Awareness isn’t enough. Hoxhunt uses interactive, bite-sized trainings that employees love to dramatically increase engagement, ensure compliance, and (measurably) reduce risky behaviors.
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China School bus
China School Bus Data Analysis model
International School Bus Operation Specification -
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PROJECT MOVED: see http://www.vmtk.org for up-to-date information. Libraries and tools for 3D reconstruction, geometric analysis, mesh generation and surface data analysis in image-based blood vessel modeling.
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QSAS plug-ins
Plug-ins for the space physics data analysis software QSAS.
The project is concerned with developing new plug-ins for the space plasma analysis software QSAS. The plug-ins are developed mainly for the Cluster II mission, Champ and Swarm. QSAS can be downloaded from: http://www.sp.ph.ic.ac.uk/csc-web/QSAS/ -
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pygolem
Python API for the GOLEM Tokamak discharge database
This simple Python API aims to provide a simple and easy to understand access to the discharge database of the GOLEM Tokamak. The scipy, numpy and matplotlib Python libraries are used for data analysis and plotting. -
Thousands of IT Managers and Sysadmins use EasyDMARC every day to manage, monitor, and secure email infrastructure.
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NLOPredict is a nonlinear optical prediction and data analysis tool. Nonlinear optical measurements can yield information about the structure of crystals, and orientation of molecules at surfaces and interfaces.
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ANDS SISS (DC4B) Project
GIS-Enabled Infrastructure for Spatially Integrated Social Science
An on-line GIS-enabled infrastructure for spatially integrated social science. A web-based open source e-research facility for social-spatial data analysis that incorporates GIS-enabled visualisation (mapping and classification) and statistical modelling capabilities. -
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OpenDinTest is a OpenOffice-Calc-Sheet for statistical Data-Analysis according to the german industry-norm DIN 32645. <br> <br> OpenDinTest ist eine OpenOffice-Calc-Datei zur statistischen Auswertung von Messdaten nach der DIN 32645. <br>
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The project would include the development of XUL, CSS and Javascript components to assist biologists in sequence manipulations, data mining, data analysis, etc.).
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CalPyLab is an open source data acquisition and (light) analysis software suite for scientific laboratories. The goal of this project is to provide a lightweight replacement for lab-view, to provide a quick and easy way to connect to your equipment.
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The online exam platform for schools, universities and other educational bodies. Provide your learners with the tools and insights to facilitate long-term learning ahead of live exams. Deliver engaging online exam preparation, practice tests and live, high-stakes exams all from one place with Synap’s easy-to-use platform.
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Import width files into MySQL, manipulate and export back to fixed width. Useful for health data analysis or *whatever*. Includes Thompson Reuters Care Discovery 3000 data file definition. Windows, OS X, Linux Requires PHP 5.3.x and MySQL 5.1.x
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This project is a fork of the CERN Program Library is a large collection of general purpose libraries/ This program is oriented to needs of a physics laboratory that is general mathematics, data analysis, detectors simulation, data-handling etc... The project have moved and is alive at http://opencernlib.tuxfamily.org/
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The repository has been moved to: https://github.com/wojdyr/fityk. Fityk is nonlinear curve-fitting and data analysis software. It is specialized in fitting peaks (bell-shaped functions like Gaussian, Loretzian, Pearson7, Voigt) to experimental data.
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BIL++ is a set of standalone C++ packages for data processing in Bioinformatics (Graph mining, Bayesian networks, Genetic algorithm, Discretization, Gene expression data analysis, Hypothesis testing).
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LaCor is intended for physical data analysis in High Energy Physics field. It was originally designed to aid in lambda hyperon correlations research in the Selex@FNAL experiment, but it should be useful for similar studies.
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GODASM is the brief of ".Gff Organized Data Analysis System for Microarray Studies". Private programs, GODA system, had been successful developed in 2008 at CGMH,Taiwan. Now the project will transfer GODAs to open-source based system.
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Parallel Colt is a multithreaded version of Colt - a library for high performance scientific computing in Java. It contains efficient algorithms for data analysis, linear algebra, multi-dimensional arrays, Fourier transforms, statistics and histogramming
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The Physics eXtension Library (PXL) is a C++ toolkit for fourvector analysis and hypothesis evolution in high energy physics data analysis.
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VISPA is a novel development environment for high energy physics analyses, based on a combination of graphical and textual steering. The main goal of VISPA is to support users in prototyping, performing, and verifying a data analysis of any complexity.
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pyastrolib is a python library providing professional astronomers a robust set of tools for astronomical data analysis. This project will provide all the functionality as NASA's IDL Astronomy User's Library in addition to other planned features.
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Logbus-ng consists in a set of tools to aid developers perform Log Analysis in all the stages: log generation, collection, distribution, storage and analysis. It is designed specifically for Field Failure Data Analysis in critical distributed systems
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Open Source Development of (SmartGrid) Data Analysis Platform based on OpenPDC and Cloud Computing Technology. * Source Codes - http://nephee.sourceforge.net, Main Project (Info, Planning, News) , http://nephee.or.kr, http://twitter.com/nepheer
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DbViz produces plots of data contained in MySQL databases. Data can be viewed by looking at line graphs, xy scatter plots, and bar graphs. This greatly simplifies data analysis.
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