datalad.api.create_sibling_gin(reponame, *, dataset=None, recursive=False, recursion_limit=None, name='gin', existing='error', api='', credential=None, access_protocol='https-ssh', publish_depends=None, private=False, description=None, dry_run=False)

Create a dataset sibling on a GIN site (with content hosting)

GIN (G-Node infrastructure) is a free data management system. It is a GitHub-like, web-based repository store and provides fine-grained access control to shared data. GIN is built on Git and git-annex, and can natively host DataLad datasets, including their data content!

This command uses the main GIN instance at as the default target, but other deployments can be used via the ‘api’ parameter.

An SSH key, properly registered at the GIN instance, is required for data upload via DataLad. Data download from public projects is also possible via anonymous HTTP.

In order to be able to use this command, a personal access token has to be generated on the platform (Account->Your Settings->Applications->Generate New Token).

This command can be configured with “datalad.create-sibling-ghlike.extra-remote-settings.NETLOC.KEY=VALUE” in order to add any local KEY = VALUE configuration to the created sibling in the local .git/config file. NETLOC is the domain of the Gin instance to apply the configuration for. This leads to a behavior that is equivalent to calling datalad’s siblings('configure', ...)``||``siblings configure command with the respective KEY-VALUE pair after creating the sibling. The configuration, like any other, could be set at user- or system level, so users do not need to add this configuration to every sibling created with the service at NETLOC themselves.

Added in version 0.16.


Create a repo ‘myrepo’ on GIN and register it as sibling ‘mygin’:

> create_sibling_gin('myrepo', name='mygin', dataset='.')

Create private repos with name(-prefix) ‘myrepo’ on GIN for a dataset and all its present subdatasets:

> create_sibling_gin('myrepo', dataset='.', recursive=True, private=True)

Create a sibling repo on GIN, and register it as a common data source in the dataset that is available regardless of whether the dataset was directly cloned from GIN:

> ds = Dataset('.')
> ds.create_sibling_gin('myrepo', name='gin')
# first push creates git-annex branch remotely and obtains annex UUID
> ds.push(to='gin')
> ds.siblings('configure', name='gin', as_common_datasrc='gin-storage')
# announce availability (redo for other siblings)
> ds.push(to='gin')
  • reponame (str) – repository name, optionally including an ‘<organization>/’ prefix if the repository shall not reside under a user’s namespace. When operating recursively, a suffix will be appended to this name for each subdataset.

  • dataset (Dataset or None, optional) – dataset to create the publication target for. If not given, an attempt is made to identify the dataset based on the current working directory. [Default: None]

  • recursive (bool, optional) – if set, recurse into potential subdatasets. [Default: False]

  • recursion_limit (int or None, optional) – limit recursion into subdatasets to the given number of levels. [Default: None]

  • name (str or None, optional) – name of the sibling in the local dataset installation (remote name). [Default: ‘gin’]

  • existing ({'skip', 'error', 'reconfigure', 'replace'}, optional) – behavior when already existing or configured siblings are discovered: skip the dataset (‘skip’), update the configuration (‘reconfigure’), or fail (‘error’). DEPRECATED DANGER ZONE: With ‘replace’, an existing repository will be irreversibly removed, re-initialized, and the sibling (re-)configured (thus implies ‘reconfigure’). replace could lead to data loss! In interactive sessions a confirmation prompt is shown, an exception is raised in non-interactive sessions. The ‘replace’ mode will be removed in a future release. [Default: ‘error’]

  • api (str or None, optional) – URL of the GIN instance without an ‘api/<version>’ suffix. [Default: ‘’]

  • credential (str or None, optional) – name of the credential providing a personal access token to be used for authorization. The token can be supplied via configuration setting ‘datalad.credential.<name>.token’, or environment variable DATALAD_CREDENTIAL_<NAME>_TOKEN, or will be queried from the active credential store using the provided name. If none is provided, the host-part of the API URL is used as a name (e.g. ‘’ -> ‘’). [Default: None]

  • access_protocol ({'https', 'ssh', 'https-ssh'}, optional) – access protocol/URL to configure for the sibling. With ‘https-ssh’ SSH will be used for write access, whereas HTTPS is used for read access. [Default: ‘https-ssh’]

  • publish_depends (list of str or None, optional) – add a dependency such that the given existing sibling is always published prior to the new sibling. This equals setting a configuration item ‘remote.SIBLINGNAME.datalad-publish-depends’. Multiple dependencies can be given as a list of sibling names. [Default: None]

  • private (bool, optional) – if set, create a private repository. [Default: False]

  • description (str or None, optional) – Brief description, displayed on the project’s page. [Default: None]

  • dry_run (bool, optional) – if set, no repository will be created, only tests for sibling name collisions will be performed, and would-be repository names are reported for all relevant datasets. [Default: False]

  • on_failure ({'ignore', 'continue', 'stop'}, optional) – behavior to perform on failure: ‘ignore’ any failure is reported, but does not cause an exception; ‘continue’ if any failure occurs an exception will be raised at the end, but processing other actions will continue for as long as possible; ‘stop’: processing will stop on first failure and an exception is raised. A failure is any result with status ‘impossible’ or ‘error’. Raised exception is an IncompleteResultsError that carries the result dictionaries of the failures in its failed attribute. [Default: ‘continue’]

  • result_filter (callable or None, optional) – if given, each to-be-returned status dictionary is passed to this callable, and is only returned if the callable’s return value does not evaluate to False or a ValueError exception is raised. If the given callable supports **kwargs it will additionally be passed the keyword arguments of the original API call. [Default: None]

  • result_renderer – select rendering mode command results. ‘tailored’ enables a command- specific rendering style that is typically tailored to human consumption, if there is one for a specific command, or otherwise falls back on the the ‘generic’ result renderer; ‘generic’ renders each result in one line with key info like action, status, path, and an optional message); ‘json’ a complete JSON line serialization of the full result record; ‘json_pp’ like ‘json’, but pretty-printed spanning multiple lines; ‘disabled’ turns off result rendering entirely; ‘<template>’ reports any value(s) of any result properties in any format indicated by the template (e.g. ‘{path}’, compare with JSON output for all key-value choices). The template syntax follows the Python “format() language”. It is possible to report individual dictionary values, e.g. ‘{metadata[name]}’. If a 2nd-level key contains a colon, e.g. ‘music:Genre’, ‘:’ must be substituted by ‘#’ in the template, like so: ‘{metadata[music#Genre]}’. [Default: ‘tailored’]

  • result_xfm ({'datasets', 'successdatasets-or-none', 'paths', 'relpaths', 'metadata'} or callable or None, optional) – if given, each to-be-returned result status dictionary is passed to this callable, and its return value becomes the result instead. This is different from result_filter, as it can perform arbitrary transformation of the result value. This is mostly useful for top- level command invocations that need to provide the results in a particular format. Instead of a callable, a label for a pre-crafted result transformation can be given. [Default: None]

  • return_type ({'generator', 'list', 'item-or-list'}, optional) – return value behavior switch. If ‘item-or-list’ a single value is returned instead of a one-item return value list, or a list in case of multiple return values. None is return in case of an empty list. [Default: ‘list’]