Open-source alternatives to Bytechef

Mirror of Apache Oozie

Argo Workflows is a container-native workflow engine that functions as a Kubernetes custom resource controller. It orchestrates complex sequences of containerized tasks by executing them as directed acyclic graphs, allowing for dependency management and parallel processing within a cluster. The system extends the native Kubernetes control plane to manage the full lifecycle of automated processes, from initial triggering to final resource cleanup. The platform distinguishes itself through its controller-pattern reconciliation, which continuously monitors workflow states to align them with desi

An open source platform for managing and analyzing biomedical big data

Azkaban is a distributed workflow manager and DAG-based job orchestrator designed as an enterprise batch processor. It serves as a Java-based workflow engine that schedules and executes complex job sequences across a cluster of executor servers, with specific functionality for managing big data workloads on Hadoop clusters. The system distinguishes itself through a distributed executor model that coordinates state via a shared database to ensure high availability. It employs a plugin-based architecture that allows for custom job types and system functionality extensions, including the ability

Event-driven scripting for Kubernetes

Scientific workflow engine designed for simplicity & scalability. Trivially transition between one off use cases to massive scale production environments

Camunda 7 CE is End of Life (EoL). Please check out Camunda 8 instead (https://github.com/camunda/camunda) or read about Camunda 7 Enterprise End of Life (https://camunda.com/blog/2025/02/camunda-7-enterprise-end-of-life-extension/) – Camunda 7 CE was a flexible framework for workflow and decision automation using BPMN and DMN.

【A common used C++ & Python DAG framework】 一个通用的、无三方依赖的、跨平台的、收录于awesome-cpp的、基于流图的并行计算框架。欢迎star & fork & 交流

CloudSlang Language, CLI and Builder

Conductor is a durable workflow engine designed to orchestrate complex, long-running business processes and autonomous agent loops. It functions as a stateful execution platform that persists the entire history of a process, ensuring that workflows remain reliable and recoverable across infrastructure failures, system restarts, and transient network errors. By managing task lifecycles, worker polling, and state transitions, it provides a centralized coordination layer for distributed systems. The platform distinguishes itself through its specialized support for AI agent orchestration, allowin

COPPER - a high performance Java workflow engine

The open agent control plane. Govern autonomous AI agents with pre-execution policy enforcement, approval gates, and audit trails. Works with LangChain, CrewAI, MCP, and any framework.

Unified Interface for Constructing and Managing Workflows on different workflow engines, such as Argo Workflows, Tekton Pipelines, and Apache Airflow.

piper - a distributed workflow engine

Cylc: a general purpose workflow engine with a gift for cycling

Dagster is a data orchestration platform designed to manage the entire lifecycle of data assets through declarative modeling and version-controlled code. It functions as a workflow engine that treats data assets as first-class primitives, allowing teams to define, schedule, and monitor complex pipelines while maintaining clear visibility into lineage, dependencies, and data quality. The platform distinguishes itself by using a code-as-configuration framework that enables standard software engineering practices, such as unit testing and local mocking, to be applied directly to data workflows.

Dapr is a distributed application runtime that provides a sidecar-based infrastructure layer for building resilient microservices and event-driven applications. By utilizing a sidecar proxy pattern, it abstracts complex infrastructure tasks into standardized, network-accessible APIs, allowing developers to focus on application logic while the runtime handles service discovery, state management, and secure communication. The platform distinguishes itself through a pluggable component architecture and language-agnostic design, enabling services written in any programming language to interact wi

The open core .NET job orchestrator that we've been missing

Elsa Core is a workflow engine framework designed for defining, executing, and managing long-running business processes. It functions as a distributed workflow orchestrator and event-driven trigger system, capable of operating as a multi-tenant platform with secure data isolation. The project distinguishes itself through a flexible approach to workflow definitions, supporting a visual drag-and-drop designer, programmatic C# definitions, and portable JSON specifications. It provides a highly extensible architecture allowing for the development of custom activities and the use of a dynamic expr

Simple but powerful DAG scheduler and dashboard

Workflows for Fission: Fast, reliable and lightweight function composition for serverless functions

a workflow engine

ForML - A development framework and MLOps platform for the lifecycle management of data science projects

Data intensive science for everyone.

Activepieces is an open-source, self-hosted workflow automation platform designed to connect third-party applications through modular triggers and actions. It provides a low-code integration framework that allows users to build, manage, and execute complex business logic sequences within isolated, sandboxed environments. The platform distinguishes itself through its focus on embeddability and enterprise-grade security. It features an embedded automation builder that can be integrated into external applications via iframes, supported by comprehensive identity and access management tools such a