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nipype

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  Analyzed about 7 hours 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

28 days since last commit

12 users on Open Hub

Moderate Activity
5.0
 
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nipy

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  Analyzed about 18 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

4 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
 
I Use This
Mostly written in language not available
Licenses: bsd_2clau...

MNE-Python

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  No analysis available

MEG and EEG data analysis in Python

0 lines of code

76 current contributors

0 since last commit

5 users on Open Hub

Activity Not Available
5.0
 
I Use This
Mostly written in language not available
Licenses: BSD-3-Clause

BRAINSTools

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  No analysis available

A suite of tools for medical image processing focused on brain analysis

0 lines of code

9 current contributors

0 since last commit

3 users on Open Hub

Activity Not Available
5.0
 
I Use This
Mostly written in language not available
Licenses: apache_2

MNE-CPP

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  No analysis available

Cross-platform medical (real-time) applications for MEG and EEG data analysis

0 lines of code

8 current contributors

0 since last commit

2 users on Open Hub

Activity Not Available
5.0
 
I Use This
Mostly written in language not available
Licenses: BSD-3-Clause

MIRTK

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  Analyzed about 19 hours ago

The Medical Image Registration ToolKit (MIRTK) is a research-focused image processing toolkit, developed at the BioMedIA research group. It provides a collection of libraries and command-line tools to assist in processing and analyzing imaging data. The main application of the MIRTK is in adult and ... [More] neonatal brain MR image registration as well as the reconstruction of cortical surface meshes. See the online documentation for more information. [Less]

276K lines of code

2 current contributors

over 1 year since last commit

1 users on Open Hub

Very Low Activity
0.0
 
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FreeROI

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  Analyzed about 19 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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pyClusterROI

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  Analyzed about 24 hours ago

Python script to perform the spatially constrained parcellation of funcitonal MRI data as described in Craddock et al., Human Brain Mapp., 33 (9) 2012

767 lines of code

0 current contributors

about 9 years since last commit

1 users on Open Hub

Inactive
0.0
 
I Use This
Licenses: No declared licenses

C-PAC

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  Analyzed about 19 hours ago

Configurable Pipeline for the Analysis of Connectomes

46.6K lines of code

9 current contributors

3 months since last commit

1 users on Open Hub

Moderate Activity
0.0
 
I Use This
Licenses: No declared licenses