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开源软件名称:datalad/datalad开源软件地址:https://github.com/datalad/datalad开源编程语言:Python 98.8%开源软件介绍:
10000-ft. overviewDataLad makes data management and data distribution more accessible. To do that, it stands on the shoulders of Git and Git-annex to deliver a decentralized system for data exchange. This includes automated ingestion of data from online portals and exposing it in readily usable form as Git(-annex) repositories, so-called datasets. The actual data storage and permission management, however, remains with the original data providers. The full documentation is available at http://docs.datalad.org and http://handbook.datalad.org provides a hands-on crash-course on DataLad. ExtensionsA number of extensions are available that provide additional functionality for DataLad. Extensions are separate packages that are to be installed in addition to DataLad. In order to install DataLad customized for a particular domain, one can simply install an extension directly, and DataLad itself will be automatically installed with it. An annotated list of extensions is available in the DataLad handbook. SupportThe documentation for this project is found here: http://docs.datalad.org All bugs, concerns, and enhancement requests for this software can be submitted here: https://github.com/datalad/datalad/issues If you have a problem or would like to ask a question about how to use DataLad,
please submit a question to
NeuroStars.org
with a All previous DataLad questions are available here: http://neurostars.org/tags/datalad/ InstallationDebian-based systemsOn Debian-based systems, we recommend enabling NeuroDebian, via which we provide recent releases of DataLad. Once enabled, just do:
Gentoo-based systemsOn Gentoo-based systems (i.e. all systems whose package manager can parse ebuilds as per the Package Manager Specification), we recommend enabling the ::science overlay, via which we provide recent releases of DataLad. Once enabled, just run:
Other Linux'es via conda
will install the most recently released version, and release candidates are available via
Other Linux'es, macOS via pipBefore you install this package, please make sure that you install a recent
version of git-annex. Afterwards,
install the latest version of
By default, installation via pip installs the core functionality of DataLad,
allowing for managing datasets etc. Additional installation schemes
are available, so you can request enhanced installation via
More details on installation and initial configuration can be found in the DataLad Handbook: Installation. LicenseMIT/Expat ContributingSee CONTRIBUTING.md if you are interested in internals or contributing to the project. AcknowledgementsDataLad development is supported by a US-German collaboration in computational neuroscience (CRCNS) project "DataGit: converging catalogues, warehouses, and deployment logistics into a federated 'data distribution'" (Halchenko/Hanke), co-funded by the US National Science Foundation (NSF 1429999) and the German Federal Ministry of Education and Research (BMBF 01GQ1411). Additional support is provided by the German federal state of Saxony-Anhalt and the European Regional Development Fund (ERDF), Project: Center for Behavioral Brain Sciences, Imaging Platform. This work is further facilitated by the ReproNim project (NIH 1P41EB019936-01A1). Mac mini instance for development is provided by MacStadium.
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