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mgrast/awe-worker

By mgrast

Updated almost 4 years ago

AWE worker with CWL runner

Image
0

500K+

mgrast/awe-worker repository overview

AWE

A light weight workflow manager for scientific computing at scale that:

  • executes CWL workflows

  • is a cloud native workflow platform designed from the ground up to be fast, scalable and fault tolerant

  • supports CWLProv

  • is RESTful. The API is accessible from desktops, HPC systems, exotic hardware, the cloud and your smartphone

  • is designed for complex scientific computing and supports computing on multiple platforms with zero setup

  • supports containerized environments with Docker and Singularity

  • is part of our reproducible science platform Skyport combined to create Researchobjects when combined with CWL and CWLProv


Documentation can be found on the AWE github pages:

https://mg-rast.github.io/AWE/

Tag summary

Content type

Image

Digest

Size

383.1 MB

Last updated

almost 7 years ago

docker pull mgrast/awe-worker