Comments (2)
That would be quite nice but the underlying question/problem is that there should be CloudMan available on Azure, right? Otherwise, BioBlend won't be of much use. Putting CloudMan on Azure may be a completely different beast though.
I guess the right approach for this would be to either abstract everything one layer up and have a cloud-independent API interface that's then implemented inside BioBlend via cloud-specific libraries. Or, probably better, just using something like libcloud.
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Old issue - if it emerges again can be revisited. Closing for now.
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Related Issues (20)
- Filtering for gi.jobs.get_jobs() and gi.datasets.get_datasets() HOT 1
- Method to cancel a job
- Add type annotations to BioBlend API HOT 2
- Rebuild docs with sphinx-apidoc
- Add an `invoke()` method to the BioBlend.objects `Workflow` class
- Fix unreliable tests
- Add tests for bioblend.toolshed
- 'GalaxyInstance' raises AttributeError when instantiated with email & password combination HOT 2
- Incorrect PyYAML version for bioblend 0.9.0 - 0.16.0 HOT 1
- Getting abosl HOT 1
- Error when trying to get ids of workflow outputs HOT 13
- partial workflow invocation HOT 9
- Drop cloudlaunch support ? HOT 4
- Add support for parameter "all" in get_histories HOT 2
- Tool search in Toolshed: number total results HOT 6
- File name displayed as Pasted Entry for file uploaded using upload_file_contents HOT 2
- Downloading a file from a shared data library HOT 3
- Extend bioblend to support the new notification API HOT 3
- Bioblend reporting workflow as failed while workflow is running or completed successfully. HOT 6
- workflows.refactor_workflows fails on subworkflows HOT 14
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