• wdl: Workflow Description Language - Specification and Implementations
• cromwell: Scientific workflow engine designed for simplicity & scalability. Trivially transition between one off use cases to massive scale production environments
• dockerflow: Dockerflow is a workflow runner that uses Dataflow to run a series of tasks in Docker with the Pipelines API
• xnnppx: XNAT-NiPype-pyxnat
• BigJob: SAGA-based Pilot-Job Implementation for Compute and Data
• cwl-intro-gui-workshop: Materials to teach workshop about CWL using the Rabix Composer
• common-workflow-language: Repository for the CWL standards. Use https://cwl.discourse.group/ for support 😊
• csg_mri_pipelines: MRI preprocessing and analysis pipelines and tools for the study of disorders of consciousness
• nextflow: A DSL for data-driven computational pipelines
• pyxnat: XNAT in Python
• galaxy: Data intensive science for everyone.
• pipeline-scheduler: Flask server to schedule and process XNAT pipelines with OpenStack
• sciluigi: A light-weight wrapper library around Spotify's Luigi workflow library to make writing scientific workflows more fluent, flexible and modular
• hcp2nipype-hack2015: The outcomes of the HCP to Nipype project at the OHBM Hackathon 2015.
• binder: reproducible executable environments
• earlPipeline: A backend-agnostic web application for visualizing and constructing modular data-processing pipelines
• airflow: Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
• nipype: Workflows and interfaces for neuroimaging packages
• fractalide: Reusable Reproducible Composable Software
• papy: The papy package provides an implementation of the flow-based programming paradigm in Python
• awesome-pipeline: A curated list of awesome pipeline toolkits inspired by Awesome Sysadmin
• ruffus: CGAT-ruffus is a lightweight python module for running computational pipelines
• timely-dataflow: A modular implementation of timely dataflow in Rust
• cwl_generator: A simple angular form for generating CWL tools and workflows
• digdag: Workload Automation System
• pipe_tasks: LSST Data Management: astronomical data processing tasks
• cuneiform: Cuneiform distributed programming language
• mara-pipelines: A lightweight opinionated ETL framework, halfway between plain scripts and Apache Airflow
• argparse2tool: transparently build CWL and Galaxy XML tool definitions for any script that uses argparse
• scipipe: Robust, flexible and resource-efficient pipelines using Go and the commandline
• cbrain: CBRAIN is a flexible Ruby on Rails framework for accessing and processing of large data on high-performance computing infrastructures.
• r-xnat: XNAT library for R
• linter-cwl: linter for cwl
• argo: Argo Workflows: Get stuff done with Kubernetes.
• ahoy: Create self-documenting cli programs from YAML files. Easily wrap bash, grunt, npm, docker, (anything) to standardize your processes and make the lives of the people working on your project better.
• awesome-fbp: Awesome Flow-Based Programming (FBP) Resources
• nifi-minifi: Apache MiNiFi (a subproject of Apache NiFi)
• cwl-airflow: Python package to extend Airflow functionality with CWL1.1 support
• nifi-fds: Mirror of Apache NiFi Flow Design System
• arborCollections: managing collections of functions and workflows in arbor