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STXXL

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  Analyzed 1 day ago

STXXL - Standard Template Library for Extra Large Data Sets. STXXL is an implementation of the C++ standard template library STL for external memory (out-of-core) computations, containers, and algorithms that can process huge volumes of data that only fit on disks.

70.3K lines of code

2 current contributors

6 months since last commit

15 users on Open Hub

Very Low Activity
5.0
 
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nipype

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  Analyzed 1 day ago

Nipype, an open-source, community-developed initiative under the umbrella of NiPy, is a Python project that provides a uniform interface to existing neuroimaging software and facilitates interaction between these packages within a single workflow. Nipype provides an environment that encourages ... [More] interactive exploration of algorithms from different packages (e.g., SPM, FSL, FreeSurfer, AFNI, Slicer), eases the design of workflows within and between packages, and reduces the learning curve necessary to use different packages. Nipype is creating a collaborative platform for neuroimaging software development in a high-level language and addressing limitations of existing pipeline systems. [Less]

121K lines of code

69 current contributors

3 days since last commit

11 users on Open Hub

Very High Activity
5.0
 
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nipy

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  Analyzed about 12 hours ago

The purpose of NIPY is to make it easier to do better brain imaging research. We believe that neuroscience ideas and analysis ideas develop together. Good ideas come from understanding; understanding comes from clarity, and clarity must come from well-designed teaching materials and well-designed ... [More] software. The software must be designed as a natural extension of the underlying ideas. We aim to build software that is: * clearly written * clearly explained * a good fit for the underlying ideas * a natural home for collaboration [Less]

69.2K lines of code

4 current contributors

about 1 month since last commit

8 users on Open Hub

Low Activity
5.0
 
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QuiXProc

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  Analyzed over 1 year ago

QuiXProc is a open source XProc implementation that integrate Streaming and Parallel processing.

40.4K lines of code

0 current contributors

almost 5 years since last commit

5 users on Open Hub

Activity Not Available
5.0
 
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Assembly3D

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  Analyzed over 1 year ago

Assembly3D is a collection of file-formats describing animated virtual 3D scenes with a focus on real-time use. This project is a common place providing tools and libraries.

18.6K lines of code

0 current contributors

over 4 years since last commit

3 users on Open Hub

Activity Not Available
5.0
 
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Licenses: BSD-3-Clause, CC-BY-SA-3.0

Apache Crunch

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  Analyzed about 11 hours ago

Apache Crunch is a Java library for writing, testing, and running MapReduce pipelines, based on Google's FlumeJava. Its goal is to make pipelines that are composed of many user-defined functions simple to write, easy to test, and efficient to run.

119K lines of code

11 current contributors

3 months since last commit

2 users on Open Hub

Low Activity
5.0
 
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niak

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  Analyzed about 11 hours ago

NIAK is a library of modules and pipelines for fMRI processing with Octave or Matlab(r) that can run in parallel either locally or in a supercomputing environment. Linux OS and MINC file format are supported. NIAK currently includes a T1 preprocessing pipeline, a pipeline for correction of ... [More] structured noise by component selection in ICA (CORSICA), as well as an fMRI preprocessing pipeline. NIAK features powerful pipeline management capabilities, including parallel computing, generation of detailed logs and automatic handling of pipeline failures or updates. [Less]

40.2K lines of code

7 current contributors

about 1 month since last commit

2 users on Open Hub

Moderate Activity
0.0
 
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JCCD

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  Analyzed 6 months ago

The Java Code Clone Detection API (JCCD) allows to implement individual code clone detectors. These code clone detectors can be easily integrated into other Java applications. JCCD is based on a pipeline architecture which allows to replace whole parts of the detection process without changing ... [More] the overall pipeline. This enables to re-implement state-of-the-art techniques as well as to realize new ideas and concepts. [Less]

25.4K lines of code

0 current contributors

over 6 years since last commit

2 users on Open Hub

Activity Not Available
5.0
 
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neuroimagingframework

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  Analyzed over 6 years ago

NEWS (2010.03.16) - Neuroimaging Framework v0.8.1 is our new Featured Download! NEWS (2010.03.09) - Neuroimaging Framework v0.8.0 is our new Featured Download! NEWS (2010.03.08) - New development branch cut, Checkout Now! This is a work in progress. To contribute, contanct me: ... [More] "timothy.okeefe" at domain "gmail.com" What Neuroimaging Framework is Neuroimaging Framework (NIF) is an open source, software development toolkit (and framework) for Neuroimaging research. NIF was designed so that a majority of the core framework classes are independently useful e.g. \Neuro\Data\Nifti, \Neuro\Data\Dicom while others are designed to pull components together into a full pipeline execution framework. What Neuroimaging Framework isn't Neuroimaging Framework (NIF) is not another toolkit with it's own native implementations of algorithms, formats, etc. rather NIF aims to provide a consistent API to a growing number of software packages including: DCMTK, XNAT, AFNI, SPM, FSL, Freesurfer, etc. Through Neuroimaging Framework, one can generate simple to complex workflows without having to focus on the many details and idiosyncrasies that exist within and in between software packages. How easy is Neuroimaging Framework? Neuroimaging Framework is meant to be fall-over easy to use. As long as your script starts out like so: #!/usr/bin/php <? require_once getenv('NIF') . '/Neuro.php';You are ready to roll! Want a better example? Say you want to average several NIFTI files. With Neuroimaging Framework this could be accomplished with just a few lines of code: #!/usr/bin/php <? require_once getenv('NIF') . '/Neuro.php'; use Neuro\Data\NiftiCollection as NiftiCollection; use Neuro\Common\Logger as Logger; $logger = Logger::getInstance(); try { $collection = new NiftiCollection(); $collection->add("/path/to/s001.nii.gz"); $collection->add("/path/to/s002.nii.gz"); $nifti = $collection->mean(); $nifti->saveTo("./", "averaged"); } catch(\Exception $e) { $logger->fatal($e); }One of our fundamental goals is code clarity, from our choice of programming language all the way down to the most minuscule of design decisions. If you're scratching your head wondering what the above code does, we have failed to deliver. System Requirements If you're unsure your system is equipped for using Neuroimaging Framework, we've included a configure script to help you. After you've downloaded NIF, simply run: user@localhost: ./configurefrom within the bin directory and you'll know how capable is your system. If it is flat-out incapable, fire off an email. Dear Developers For those who have downloaded and installed the latest PHP Development Tools Project IDE, contributing to the project couldn't be easier. We've included our Eclipse project file within the project itself. So just checkout the latest source and even you could help us break things! Looking for a similar framework written in Python? Check out NIPYPE [Less]

6.82K lines of code

1 current contributors

over 7 years since last commit

1 users on Open Hub

Activity Not Available
0.0
 
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qbtgstreamer

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  Analyzed almost 3 years ago

QbtGStreamerSummaryQbtGStreamer is a GStreamer wrapper for Qt 4. It lets users who are familiar with Qt and not gobject use GStreamer without first learning about gobject and without mixing c and c++ code. Example programs are included. Even a full pipeline editor is included to experiment with GStreamer. News

913 lines of code

0 current contributors

almost 11 years since last commit

1 users on Open Hub

Activity Not Available
0.0
 
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