Open-source alternatives to Workflow Core

Helper classes to set up and run as windows services directly on .net core. A ServiceBase alternative.

Database-Backed Durable TypeScript Workflows

WF runtime ported to work on .NET Core

.. role:: bash(code) :language: bash

.. role:: bash(code) :language: bash

Human-readable recurrence expressions for .NET – easier than Cron!

Django workflow library that supports on the fly changes ⛵

Cron utils for parsing, validations and human readable descriptions as well as date/time interoperability.

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

A Light-weight Job Scheduling Framework

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

This library provides an approximated calculation of sunrise and sunset time. It is written in Python and targets the MicroPython's constrained environments.

A Job Scheduler sitting on top of IHostedService in dotnet.

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

A powerful and intuitive .NET library for defining, filtering, transforming, and scheduling instant and period timelines.

CPython supports asynchronous programming via the asyncio library. MicroPython provides asyncio which is a subset of this, optimised for small code size and high performance on bare metal targets. This repository provides documentation, tutorial material and code to aid in its effective use.

Quartz.NET is a job scheduler for .NET applications designed to schedule and execute programmatic tasks. It functions as a distributed task orchestrator and enterprise task orchestrator, capable of managing recurring jobs with concurrency limits and complex intervals. The system provides high availability through a clustered execution model that balances loads and provides fail-over redundancy across multiple server instances. It utilizes a relational database job store to persist job and trigger states, ensuring that scheduled tasks survive application restarts. The framework includes capab

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

Provides tools for managing a workflow or finite state machine