python-cfflib – Multi-modal connectome and metadata management and integration¶
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The Connectome File Format Library (cfflib) is a Python module for multi-modal neuroimaging connectome data and metadata management and integration.
It enables single subject and multi-subject data integration for a variety of modalities, such as networks, surfaces, volumes, fiber tracks, timeseries, scripts, arbitrary data objects such as homogeneous arrays or CSV/JSON files. It relies on existing Python modules and the standard library for basic data I/O, and adds a layer of metadata annotation as tags or with structured properties to individual data objects.
Distribution |
Base version |
Our version |
Architectures |
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Debian GNU/Linux 10.0 (buster) |
2.0.5-3 |
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Debian GNU/Linux 9.0 (stretch) |
2.0.5-2 |
2.0.5-1~nd70+1+nd90+1 |
i386, amd64, sparc, armel |
Debian unstable (sid) |
2.0.5-1~nd+1 |
i386, amd64, armel |
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Ubuntu 16.04 “Xenial Xerus” (xenial) |
2.0.5-2 |
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Ubuntu 18.04 “Bionic Beaver” (bionic) |
2.0.5-2 |