wfcommons/wfcommons: v0.5

WfCommons is a community framework that provides a collection of tools for analyzing workflow execution instances, producing realistic synthetic workflow traces, and simulating workflow executions. This Python package provides a collection of tools for: (i) Analyzing instances of actual workflow executions; (ii) Producing recipes structures for creating workflow recipes for workflow generation; and (iii) Generating synthetic realistic workflow instances. The current list of available workflow recipes include the following workflow applications: 1000Genome: A high-throughput data-intensive bioinformatics workflow. BLAST: A high-throughput compute-intensive bioinformatics workflow. BWA: A high-throughput data-intensive bioinformatics workflow. Cycles: A high-throughput compute-intensive scientific workflow for agroecosystems modeling. Epigenomics: A high-throughput data-intensive bioinformatics workflow. Montage: A high-throughput compute-intensive astronomy workflow. Seismology: A high-throughput data-intensive seismology workflow. SoyKB: A high-throughput data-intensive bioinformatics workflow. Documentation and additional information: https://wfcommons.or