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You use it to run the commands in your workflow easily,\nautomatically, reliably, with repeatability, and while making optimal use of\nyour available computing resources.\n\nwr is implemented as a polling-free in-memory job queue with an on-disk acid\ntransactional embedded database, written in go.\n\nIts main benefits over other software workflow management systems are its very\nlow latency and overhead, its high performance at scale, its real-time status\nupdates with a view on all your workflows on one screen, its permanent\nsearchable history of all the commands you have ever run, and its \"live\"\ndependencies enabling easy automation of on-going projects.\n\nFurthermore, wr has best-in-class support for OpenStack, providing incredibly\neasy deployment and auto-scaling without you having to know anything about\nOpenStack. For use in clouds such as AWS, GCP and others, wr also has the\nbuilt-in ability to self-deploy to any Kubernetes cluster. And it has built-in\nsupport for mounting S3-like object stores, providing an easy way of running\ncommands against remote files whilst enjoying [high\nperformance](https://github.com/VertebrateResequencing/muxfys).\n\nDownload\n--------\n[![download](https://img.shields.io/badge/download-wr-green.svg)](https://github.com/VertebrateResequencing/wr/releases)\n\nAlternatively, build it yourself (see go.mod for the minimum version of go\nrequired):\n\n        git clone https://github.com/VertebrateResequencing/wr.git\n        cd wr\n        make\n\nThe `wr` executable should now be in `$HOME/go/bin`.\n\nDocumentation\n-------------\n\nComplete usage information is available using the `-h` option to wr and its\nsub-commands.\n\nGuided usage, tips, notes and tutorials are available here:\nhttps://workflow-runner.readthedocs.io/\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvertebrateresequencing%2Fwr","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fvertebrateresequencing%2Fwr","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvertebrateresequencing%2Fwr/lists"}