Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
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- apache
- apache-airflow
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Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
Workflow Automation Engine
iWF is a Workflow-As-Code microservice orchestration platform offering an orchestration coding framework and service for building resilient, fault-tolerant, scalable long-running processes
Simple but powerful DAG scheduler and dashboard
LittleHorse Server: Business-as-Code Platform for Microservices, Workflows, and Agents
The type-safe, event-driven workflow orchestration library that scales with your business. Build robust, distributed workflows in Go with compile-time safety, automatic retries, and horizontal scaling out of the box. Integrate with your existing tech stack using adapters 🚀
BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and machine learning workflows even for datasets that do not fit into memory.
Machine is a workflow/pipeline library for processing data
Distributed batch data processing framework
Distributed, Scalable, Fault-Tolerant, Minimalistic Workflow Engine - No DAGs, No YAML, No Cumbersome Diagrams, Just Code
🎲 Dotflow turns an idea into flow! — Lightweight Python library for execution pipelines