AiiDA
A workflow manager for computational science with a strong focus on provenance, performance and extensibility.
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A workflow manager for computational science with a strong focus on provenance, performance and extensibility.
An execution system for large scale data intensive dynamic workflows.
This is the development home of the workflow management system Snakemake. For general information, see
Productive parallel programming in Python
A workflow manager for scientific computing on high performance computing infrastructures
Makeflow is a workflow system for parallel and distributed computing that uses a language very similar to Make.
An MPI-based workflow system
Towards Cloud-HPC Continuum
Accelerate distributed Python workflows
A general purpose workflow engine with a particular gift for cycling.
High Performance Asynchronous Workflow Scripting Library
Meta-workflow system for scientific data processing and expert systems
Robust, flexible and resource-efficient pipelines using Go and the commandline.
Distributed workflows for quantum and HPC
Orchestrate your HPC workflows with ease
Neuroimaging in Python: Pipelines and Interfaces
Enabling Machine Learning HPC Workflows
Workflow and Template Toolkit for Simulation
Machine learning workflows with HPC applications (Python, C++, C, and Fortran)
a lightweight workflow software to easily orchestrate pipelines from Python and shell scripts and preserve history of every execution
Easy task-based parallelization and efficient execution in distributed infrastructures.
Tool for running dynamic ensembles.
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.
Ensemble Toolkit
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 WDL, CWL and Python API supporting easy-to-use workflow engine. It is scalable, efficient and cross-platform (Linux/macOS).
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
jobflow is a library for writing computational workflows.
Pegasus Workflow Management System - Automate, recover, and debug scientific computations.
The Fireworks Workflow Management Repo.
Workflow management for signac-managed data spaces.
HyperFlow: a scientific workflow engine
For a comprehensive list of workflow systems, see Computational Data Analysis Workflow Systems maintained by the CWL community.