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AWE

workflow and resource management system for bioinformatics data analysis

Install / Use

/learn @MG-RAST/AWE
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

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

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Documentation can be found on the AWE github pages:

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

View on GitHub
GitHub Stars70
CategoryData
Updated3mo ago
Forks20

Languages

Go

Security Score

97/100

Audited on Dec 24, 2025

No findings