SpiffWorkflow is a software development platform for building, running, and monitoring executable diagrams
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Updated
May 30, 2024 - Python
SpiffWorkflow is a software development platform for building, running, and monitoring executable diagrams
Distributed Workflow Engine for Microservices Orchestration
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.
Compute over Data framework for public, transparent, and optionally verifiable computation
TwinGraph is a Python framework for distributed container orchestration using Kubernetes clusters, Docker Compose/Swarm or cloud resources on AWS (AWS Lambda, AWS Batch, Amazon EKS). Applications include high-throughput simulations, simulation-driven optimization, Digital Twins and machine learning.
The worker node manager container which manages nebula nodes
The optional reporter container which reads nebula reports from Kafka into the backend DB
The API endpoint that manages nebula orchestrator clusters
Multi-platform Scheduling and Workflows Engine
A microsite and documentation home for the Clamp orchestrator. The website hosts overview, documentation, and periodic blogs to broadcast improvements and evolution of framework.
ESB, SOA, REST, APIs and Cloud Integrations in Python
command line tool for managing nebula clusters
Simply making fault tolerant code simple
End to end functional test and automation framework
m2m is a node.js library for developing machine-to-machine and edge applications using the node-m2m framework.
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
MSactivator & Cloudclapp product documentation
DevOps Orchestration for Obrar deploy and Ansible playbooks
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