python3-datalad – data files management and distribution platform¶
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DataLad is a data management and distribution platform providing access to a wide range of data resources already available online. Using git-annex as its backend for data logistics it provides following facilities built-in or available through additional extensions
- command line and Python interfaces for manipulation of collections of datasets (install, uninstall, update, publish, save, etc.) and
separate files/directories (add, get)
- extract, aggregate, and search through various sources of metadata (xmp, EXIF, etc; install datalad-neuroimaging for DICOM, BIDS, NIfTI support)
- crawl web sites to automatically prepare and update git-annex repositories with content from online websites, S3, etc (install datalad-crawler)
This package installs the module for Python 3, and Recommends install all dependencies necessary for searching and managing datasets, publishing, and testing. If you need base functionality, install without Recommends.
| Distribution | Base version | Our version | Architectures |
|---|---|---|---|
| Debian GNU/Linux 10.0 (buster) | 0.11.2-2 | 0.18.1-1~nd100+1 | i386, amd64, sparc, armel, arm64, ppc64el |
| Debian GNU/Linux 11.0 (bullseye) | 0.14.0-1 | 0.18.1-1~nd110+1 | i386, amd64, sparc, armel, arm64 |
| Debian GNU/Linux 9.0 (stretch) | 0.4.1-1 | 0.13.7-1~nd90+1 | i386, amd64, sparc, armel, arm64 |
| Debian testing (bookworm) | 0.18.1-2 | 0.18.1-1~nd120+1 | i386, amd64, sparc, armel, arm64 |
| Debian unstable (sid) | 0.18.1-2 | 0.18.1-1~nd+1 | i386, amd64, sparc, armel, arm64 |
| Ubuntu 16.04 “Xenial Xerus” (xenial) | 0.11.6-1~nd16.04+1 | i386, amd64, sparc, armel, arm64 | |
| Ubuntu 18.04 “Bionic Beaver” (bionic) | 0.9.3-1 | 0.14.7-1~nd18.04+1 | i386, amd64, sparc, armel, arm64 |
| Ubuntu 20.04 “Focal Fossa” (focal) | 0.12.4-2 | 0.18.1-1~nd20.04+1 | i386, amd64, sparc, armel, arm64 |
| Ubuntu 21.10 “Impish Indri” (impish) | 0.14.0-1 | ||
| Ubuntu 22.04 “Jammy Jellyfish” (jammy) | 0.15.5-1 | 0.18.1-1~nd22.04+1 | i386, amd64, sparc, armel, arm64 |