Nextflow
A DSL for data-driven computational pipelines
Explore the open source landscape and discover systems with rich community metadata.
These projects provide structured metadata for richer discovery.
A DSL for data-driven computational pipelines
Workflow and Template Toolkit for Simulation
Productive parallel programming in Python
Towards Cloud-HPC Continuum
This is the development home of the workflow management system Snakemake. For general information, see
A general purpose workflow engine with a particular gift for cycling.
Tool for running dynamic ensembles.
Distributed workflows for quantum and HPC
Neuroimaging in Python: Pipelines and Interfaces
Robust, flexible and resource-efficient pipelines using Go and the commandline.
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.
Makeflow is a workflow system for parallel and distributed computing that uses a language very similar to Make.
Meta-workflow system for scientific data processing and expert systems
An MPI-based workflow system
A workflow manager for scientific computing on high performance computing infrastructures
Accelerate distributed Python workflows
Orchestrate your HPC workflows with ease
Machine learning workflows with HPC applications (Python, C++, C, and Fortran)
Easy task-based parallelization and efficient execution in distributed infrastructures.
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
Enabling Machine Learning HPC Workflows
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.
Parallel computing with task scheduling
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.
Data intensive science for everyone.
Pegasus Workflow Management System - Automate, recover, and debug scientific computations.
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.
The Fireworks Workflow Management Repo.
A WDL, CWL and Python API supporting easy-to-use workflow engine. It is scalable, efficient and cross-platform (Linux/macOS).
HyperFlow: a scientific workflow engine
Workflow management for signac-managed data spaces.
For a comprehensive list of workflow systems, see Computational Data Analysis Workflow Systems maintained by the CWL community.