Open-source alternatives to Workflow

Django workflow library that supports on the fly changes ⛵

This repository is a fork of apache/incubator-kie-kogito-runtimes. Please use upstream repository for development.

distributed, light-weight java workflow engine for a microservice architecture

Embeddable JVM-based workflow engine with high availability, fault tolerance, and support for multiple databases. Additional libraries are provided for visualization and REST API.

A pure go General-purpose Task-parallel Programming Framework with integrated visualizer and profiler

WorkflowEngine.NET - component that adds workflow in your application. It can be fully integrated into your application, or be in the form of a specific service (such as a web service).

A powerful workflow engine implemented in pure Python

Robust, flexible and resource-efficient pipelines using Go and the commandline

Workflow is an asynchronous C++ task engine designed for building distributed systems and high-performance network services. It provides a framework for orchestrating complex sequences of network, file, and computational operations, allowing developers to compose these tasks into parallel workflows. The library functions as a toolkit for implementing scalable servers and clients for protocols such as HTTP, Redis, MySQL, and Kafka. It distinguishes itself through a task-based concurrency model that manages non-blocking operations and coordinates service discovery, load balancing, and traffic r

Oban is a relational database-backed job processor and task scheduler for Elixir applications. It functions as a distributed workflow orchestrator that leverages database primitives to ensure job persistence, reliability, and consistent state management across clusters. The system distinguishes itself through complex workflow orchestration, enabling the composition of task dependencies using batching, sequential processing, and fan-out or fan-in patterns. It provides global throughput limiting and uniqueness enforcement to prevent duplicate work and protect downstream resources across distrib

Luigi is a Python framework designed for building and managing complex batch data pipelines. It functions as a workflow orchestration engine that organizes tasks into directed acyclic graphs, ensuring that jobs execute in the correct logical order based on their dependencies. By utilizing a centralized scheduler, the system coordinates task execution across distributed environments, tracks global workflow state, and prevents redundant processing by verifying the existence of output targets before triggering any work. The project distinguishes itself through a robust state-tracking mechanism t

WF runtime ported to work on .NET 6

Reusable workflow library for Django

A lightweight Java based orchestration engine

A simple Python-based distributed workflow engine