Search Results for "structural analysis software" - Page 12
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Showing 395 open source projects for "structural analysis software"
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misspell-check
A program to check source code for mispelings...
A program to check source code for mispelings... -
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pyTruss
Simple 3D Structural Analysis
Basic 3D structural analysis in python. GUI allows building simple 3D shapes, applying static loads and monitoring dynamic load on beams. Based on OpenGL and ODE. -
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AVAS
AVAS - Atomic Visualisation and Analysis Software.
AVAS - Atomic Visualisation and Analysis Software. Manipulate and visualise datasets from atomic simulation. Provides sophisticated rendering and filtering tools to carry out analysis efficiently. -
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Voikko
Library of linguistic tools
Voikko is a spell checking, grammar checking, morphological analysis and hyphenation system. Spell checkers are available for multiple languages, other features for Finnish only. -
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A Python programming environment providing memory sizing, profiling and analysis, and a specification language that can formally specify aspects of Python programs and generate tests and documentation from a common source.
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The sigrok project aims at creating a portable, cross-platform, Free/Libre/Open-Source signal analysis software suite that supports various device types, such as logic analyzers, MSOs, oscilloscopes, multimeters, LCR meters, sound level meters, thermometers, anemometers, light meters, dataloggers, function generators, power supplies, GPIB interfaces, and more.
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dAnalytics
dAnalytics is a software made for education in discriminant analysis.
dAnalytics is a software made for educational purposes to work with discriminant analysis. It's a very simple calculator over bi-dimensional populations. You input a file with two columns (one for each variable) and tryout different separations of populations (blue and red) and analyze it's efficiency by observing the eigen value result for the attempted separation. -
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BRAHMS is a Modular Execution Framework for dynamical systems. It knits together independently-authored software modules implementing dynamical processes into an integrated system, and supervises the deployment and execution of that system.
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IMPORTANT: The project moved over to github! You can find it at: https://github.com/exhuma/python-cluster
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Analyzes programs (and projects) written in Cobol and generates information (HTML) for its easy reading, understanding and analysis.
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HPeak
A HMM-based algorithm for defining enriched regions from ChIP-seq data
HPeak is a hidden Markov model-based approach that can accurately pinpoint regions to where significantly more sequence reads map. Testing on real data shows that these regions are indeed highly enriched by the right protein binding sites. Command (single-end): perl /compbio/software/HPeak3/HPeak.pl -sp HUMAN/MOUSE -format BED -t TREATMENT.inp -c CONTROL.inp -n OUTPUTPREFIX -fmin 100 -fmax 300 -r 36 -ann -wig -seq -interfiles Command (pair-end): perl /compbio/software/HPeak3/HPeak.pl... -
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GIIAF Microscopy Library
The GIIAF Microscopy Library, that uses customised OMERO software
This project incorporates a suite of tools that aim to allow researchers within Griffith's Imaging and Image Analysis Facility (GIIAF) to efficiently and effectively provide secure, centralised, web-accessible data storage, management and manipulation. The open-source Java-based OMERO software was customised to provide most of the features of this project. -
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colonyzer image analysis software
Image analysis estimating cell density in arrayed microbial cultures
Image analysis software for quantification of cell density in microbial cultures (e.g. S. cerevisiae) growing on solid agar plates. Specialises in detection of extremely low cell densities. Forms part of the Quantitative Fitness Analysis (QFA) workflow: http://research.ncl.ac.uk/qfa/ Suitable for high-throughput, genome-wide analysis of culture libraries when combined with the following qfa R package: http://qfa.r-forge.r-project.org/ This is the version presented, used and demonstrated in the following manuscripts: Lawless et al. 2010 http://dx.doi.org/10.1186/1471-2105-11-287 Addinall et al. 2011 http://dx.doi.org/10.1371/journal.pgen.1001362 Chang et al. 2011 http://dx.doi.org/10.1534/g3.111.000216 Banks et al. 2012 http://dx.doi.org/10.3791/4018 Development has been moved to github, where Colonyzer has undergone several recent improvements, particuarly making installation easier and analysis faster: https://github.com/CnrLwlss/Colonyzer -
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PYC Dissasembler
Disassemble python byte compiled file for python 2.x
PYC Dissasembler disassemble python byte compiled files (.pyc) into a series of opcodes. It work for every version of python 2 (that use cpython) but must be run with a good interpreter. Ex: you can only disassemble python 2.7 pyc files with a python 2.7 interpreter. -
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CSST
Cascade and Sharing Survival Trees, an ensemble for survival analysis
Cascading and Sharing Survival Trees (CSST) is a tree-based enseble that allows to efficiently analize survival data. It is a strightforward extension of the CS4 method for lifetime collections of data. The CSST software comes along with its companion the CSST Prediction tool, to use the ensemble prediction in everyday life. Please, refer to the user's manual for further information. -
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GUI for DEDA
GUI for DEmography Data Analysis
<This project has been completely rewrote and transformed into a new one: https://sourceforge.net/projects/deday/. 2013/06/26> The graphic user interface for DEDA (DEmography Data Analysis), a scientific software package fitting survivalship data to a number of distributions using maximum likelihood (ML) method. Currently, Weibull (2p), Gompertz and Gompertz-Makeham are supported. IMPORTANT NOTICE: Only the GUI is provided here. In order to perform the analysis, one also need the DEDA computation core program. ... -
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aim is to provide support for monitoring system behaviour through dynamic analysis, and for analysing and modeling this data for a better understanding of system behaviour and for test automation
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minder
Monitoring your infrastructure for free.
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... -
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The neuroimaging in python (NIPY) project is an environment for the analysis of structural and functional neuroimaging data. It currently has a full system for general linear modeling of functional magnetic resonance imaging (fMRI).
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pyscope
Software oscilloscope using Python and tkinter
Software oscilloscope using Python and tkinter. Supports multiple sources: socket, file, audio, USB. Displays data by samples, time or frequency. Scales the input automatically or manually. It has been renamed "pdatascope" to avoid a name-clash with Pyscope, a scoping package on PyPi. See https://sourceforge.net/p/pydatascope/ for the latest code. -
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NastranToCodeAster
Tool to translate Nastran to CodeAster file.
Tool to translate Nastran to CodeAster file. -
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JBoost is a simple, robust system for classification. JBoost contains implementations of several boosting algorithms in an alternating decision tree framework. In addition, JBoost provides extensible software for adding more learning algorithms.
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evofetch
Mining tool for software repositories
EvoFETCH is a tool to extract information about software entities such as classes, methods, and attributes from software repositories. EvoFETCH is middleware and makes use of other freely available software to perform the extraction and provide query functionality. -
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Atlas2Cloud
Atlas2 Genome Analysis Pipeline on Amazon Web Services
This is the backend source code of the Atlas2-Cloud pipeline on Amazon which starts and terminates worker nodes, runs analysis and monitors worker instances. It is PRIMARILY meant to be used through Amazon Web Services (AWS) management console by looking for the public Atlas2-Cloud machine image. Alternatively, the code can also be used for running the pipeline from your computer. By installing this software on your computer you will be setting up your computer to act as the head node which would then run the pipeline from your computer.
