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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]

159K lines of code

40 current contributors

7 days since last commit

12 users on Open Hub

Moderate Activity
5.0
 
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nipy

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  Analyzed about 16 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]

71.6K lines of code

2 current contributors

3 months since last commit

8 users on Open Hub

Moderate Activity
5.0
 
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XNAT

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  No analysis available

XNAT is an open-source imaging informatics software platform dedicated to helping you perform imaging-based research. XNAT’s core functions manage importing, archiving, processing and securely distributing imaging and related study data. But its extended uses continue to evolve.

0 lines of code

14 current contributors

0 since last commit

6 users on Open Hub

Activity Not Available
5.0
 
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Mostly written in language not available
Licenses: bsd_2clau...

niak

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  Analyzed about 13 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

1 current contributors

over 2 years since last commit

2 users on Open Hub

Inactive
0.0
 
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C-PAC

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  Analyzed about 17 hours ago

Configurable Pipeline for the Analysis of Connectomes

46.6K lines of code

9 current contributors

2 months since last commit

1 users on Open Hub

Moderate Activity
0.0
 
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Licenses: No declared licenses

FreeROI

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  Analyzed about 17 hours ago

FreeROI is a versatile image processing software developed for neuroimaging data. Its goal is to provide a user-friendly interface for neuroimaging researchers to visualize and analyze their data, especially in defining region of interest (ROI) for ROI analysis.

16K lines of code

3 current contributors

about 3 years since last commit

1 users on Open Hub

Inactive
0.0
 
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GCA-iOS

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Claimed by German Neuroinformatics Node Analyzed about 17 hours ago

G-Node Conference Application for iOS

9.81K lines of code

0 current contributors

about 6 years since last commit

0 users on Open Hub

Inactive
0.0
 
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Licenses: No declared licenses

Clinica: software platform for clinical neuroimaging studies

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  Analyzed about 11 hours ago

Clinica is a software platform for clinical research studies involving patients with neurological and psychiatric diseases and the acquistion of multimodal data (neuroimaging, clinical and cognitive evaluations, genetics...), most often with longitudinal follow-up.

48.5K lines of code

18 current contributors

4 days since last commit

0 users on Open Hub

Moderate Activity
0.0
 
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forwardmodel

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  Analyzed about 7 hours ago

This project aims to simplify the preparation of accurate electromagnetic head models for EEG forward modeling. It builds off of the seminal SimNIBS tool for electromagnetic field modelling of transcranial magnetic stimulation (TMS) and transcranial direct current stimulation. Human skin, skull ... [More] , cerebrospinal fluid, and brain meshing pipelines have been rewritten with Nipype to ease access parallel processing and to allow users to start/stop the workflows. Conductivity tensor mapping from diffusion-weighted imaging is also included. [Less]

5.13K lines of code

0 current contributors

over 9 years since last commit

0 users on Open Hub

Inactive
0.0
 
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