Ewoks
Meta-workflow system for scientific data processing and expert systems
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Meta-workflow system for scientific data processing and expert systems
A workflow manager for scientific computing on high performance computing infrastructures
This is the development home of the workflow management system Snakemake. For general information, see
Towards Cloud-HPC Continuum
A workflow manager for computational science with a strong focus on provenance, performance and extensibility.
A general purpose workflow engine with a particular gift for cycling.
Robust, flexible and resource-efficient pipelines using Go and the commandline.
An execution system for large scale data intensive dynamic workflows.
Neuroimaging in Python: Pipelines and Interfaces
Makeflow is a workflow system for parallel and distributed computing that uses a language very similar to Make.
Accelerate distributed Python workflows
Productive parallel programming in Python
An MPI-based workflow system
DAGonStar is a simple Python-based workflow engine that runs jobs on everything from the local machine to distributed virtual HPC clusters hosted in private and public clouds.
Workflow and Template Toolkit for Simulation
Machine learning workflows with HPC applications (Python, C++, C, and Fortran)
Ensemble Toolkit
Distributed workflows for quantum and HPC
Orchestrate your HPC workflows with ease
Easy task-based parallelization and efficient execution in distributed infrastructures.
Tool for running dynamic ensembles.
Enabling Machine Learning HPC Workflows
High Performance Asynchronous Workflow Scripting Library
a lightweight workflow software to easily orchestrate pipelines from Python and shell scripts and preserve history of every execution
A runtime system for the orchestration of workflows across the cloud-edge-Iot continuum.
A growing list of open source systems shared by the community.
A DSL for data-driven computational pipelines
Parallel computing with task scheduling
Data intensive science for everyone.
The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.
Globus Compute: High Performance Function Serving for Science
Scientific workflow engine designed for simplicity & scalability. Trivially transition between one off use cases to massive scale production environments
A WDL, CWL and Python API supporting easy-to-use workflow engine. It is scalable, efficient and cross-platform (Linux/macOS).
Pegasus Workflow Management System - Automate, recover, and debug scientific computations.
jobflow is a library for writing computational workflows.
HyperFlow: a scientific workflow engine
Workflow management for signac-managed data spaces.
The Fireworks Workflow Management Repo.
For a comprehensive list of workflow systems, see Computational Data Analysis Workflow Systems maintained by the CWL community.