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workflow-orchestration
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- Wikipedia
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Apache DolphinScheduler is the modern data orchestration platform. Agile to create high performance workflow with low-code
Free MLOps course from DataTalks.Club
Pocket Flow: 100-line LLM framework. Let Agents build Agents!
Maestro: Netflix’s Workflow Orchestrator
A curated list of awesome projects and resources related to Argo (a CNCF graduated project)
Polaris: High performance workflow orchestrator for Golang
A curated list of awesome projects and resources related to Kubeflow (a CNCF incubating project)
Open source AI platform for rapid development of advanced AI and AGI pipelines.
Build programmatically custom agentic workflows, AI Agents, RAG systems for java
SpiffWorkflow is a software development platform for building, running, and monitoring executable diagrams
The Kubernetes native and CloudEvents native distributed event streaming, event orchestration & messaging platform
A Model Context Protocol server that provides task orchestration capabilities for AI assistants
An end to end ML project. Using MLflow for experiment tracking and model registry. Prefect for workflow orchestration. S3 for artifacts storage. AWS Lambda/ ECR for serverless model serving. AWS REST API gateway as endpoint to lambda function. GitHub Actions for CI/CD.
A microservices flow orchestrator and workflow manager.
Repo for my MLOps Zoomcamp project
Model Context Protocol (MCP) server for Apache Airflow API integration. Provides comprehensive tools for managing Airflow clusters including service operations, configuration management, status monitoring, and request tracking.
m2m is a node.js library for developing machine-to-machine and edge applications using the node-m2m framework.