Distributed Workflow Engine for Microservices Orchestration

SpiffWorkflow is a software development platform for building, running, and monitoring executable diagrams

Compute over Data framework for public, transparent, and optionally verifiable computation

Multi-platform Scheduling and Workflows Engine

Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.

Simply making fault tolerant code simple

m2m is a node.js library for developing machine-to-machine and edge applications using the node-m2m framework.

ESB, SOA, REST, APIs and Cloud Integrations in Python

Java SDK for iwf workflow engine(simple & powerful workflow as code engine based on Cadence/Temporal)

This project demonstrates how to build and automate an ETL pipeline using DAGs in Airflow and load the transformed data to Bigquery. There are different tools that have been used in this project such as Astro, DBT, GCP, Airflow, Metabase.

BotCity Maestro SDK - Python

End to end functional test and automation framework

The optional reporter container which reads nebula reports from Kafka into the backend DB

The API endpoint that manages nebula orchestrator clusters

The worker node manager container which manages nebula nodes

command line tool for managing nebula clusters

MSactivator & Cloudclapp product documentation

DevOps Orchestration for Obrar deploy and Ansible playbooks

Leverage the power of Durable Functions with JSON defined dynamic workflows. Microflow is a dynamic serverless micro-service workflow orchestrator, built with C#, .NET 6.0, and Azure Durable Functions. Microflow separates the workflow editing from the micro-service code so that workflows can be created and modified outside of the dev cycle.

Automate and expose complex infrastructure tasks to teams and services.