{ "info": { "author": "Lenson A. Pellouchoud, Amanda Fournier, Ekaterina Tcareva, Ronald Pandolfi, Dinesh Kumar, Fang Ren, Yuriy Kolotovsky, Apurva Mehta, Christopher Tassone", "author_email": "paws-developers@slac.stanford.edu", "bugtrack_url": null, "classifiers": [ "Development Status :: 3 - Alpha", "Intended Audience :: Developers", "Intended Audience :: Science/Research", "License :: OSI Approved :: BSD License", "Programming Language :: Python :: 2.7", "Programming Language :: Python :: 3.5", "Programming Language :: Python :: 3.6", "Topic :: Scientific/Engineering" ], "description": "paws: the Platform for Automated Workflows by SSRL \n==================================================\n\n\nIntroduction\n------------\n\n`paws` stands for the Platform for Automated Workflows by SSRL.\nIt was conceived to serve as a lean and modular\nworkflow manager for scientific data.\n\n`paws` interfaces with an ever-growing number of packages \nand provides for users to add their own Operations,\nby writing isolated Python modules following a simple template.\n\nThe essential ingredients of `paws` are Operations, Workflows, and Plugins.\nA `paws` Operation is meant to take some inputs and produce some outputs-\nit is essentially a function, wrapped in a class, wrapped in a Python module.\nThe class and module layers are used for certain conveniences \nin the implementation of `paws` Workflows.\nA `paws` Plugin is an object that should persist over time\nto repeatedly execute one or more activities,\nfor example to monitor an experimental apparatus,\nor to expose functionalities of a complex object for Operations to use.\nA `paws` Workflow contains the logic necessary for stitching together Operations and Plugins,\nand despite the distinction in name, it implements the same interface as an Operation.\n\nDisclaimer: `paws` is neither the first nor the most sophisticated\nway to build and manage data processing workflows.\nIts development was driven by a need\nfor modularity and extensibility,\nfor rapid development and deployment \nof stand-alone applications for a wide variety of experimental control\nand data processing tasks.\n\n\nDocumentation\n-------------\n\nThe documentation for `paws` is hosted by readthedocs.org:\n`http://paws.readthedocs.io/en/latest/`.\nThis documentation is continually under development.\nPlease contact the developers at `paws-developers@slac.stanford.edu`\nif the documentation fails to answer your questions.\n\n\nAPI Examples\n------------\n\nThe following are examples that explore \nthe capabilities of the `paws` API.\n\nTODO: write new examples\n\n\nInstallation\n------------\n\nNOTE: all deployments are currently outdated or under heavy development.\nPlease contact the development team if you are interested in this package.\n\n`paws` is available on PyPI and Anaconda.\nDeployments to PyPI are performed regularly.\nCurrently, we only deploy relatively stable versions to Anaconda.\n\nTo install from PyPI, invoke `pip`:\n`pip install pypaws`.\n\nTo install from Anaconda, use `conda`:\n`conda install -c ssrl-paws pypaws` \n\nAll of the dependencies of the `paws` Operations \nare not necessarily declared as dependencies of `paws`.\nThis keeps the Python environment relatively lean\nand avoids obnoxious installation overhead,\nbut it means that users will have to prepare their\nenvironments for the Operations they want to use.\n\nThe documentation of `paws` includes instructions\nfor installing the dependencies of each Operation.\nNOTE: this is currently false. \n\n\nAttribution\n-----------\n\n`paws` was written at SSRL by Chris Tassone's research group.\nIf you use `paws` in your published research, \na citation would be appreciated.\n\nBefore citing `paws`, it is of primary importance that you cite \nthe authors of the original work that produced your results: \nthis is almost certainly separate from the authors of `paws`.\nCitations for your specific Operations should be found\nin the `paws` documentation.\nIf you have trouble 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