orchestration
There are 1372 repositories under orchestration topic.
langgenius/dify
Production-ready platform for agentic workflow development.
apache/airflow
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
docker/compose
Define and run multi-container applications with Docker
juspay/hyperswitch
An open source payments switch written in Rust to make payments fast, reliable and affordable
statelyai/xstate
Actor-based state management & orchestration for complex app logic.
rancher/rancher
Complete container management platform
deepset-ai/haystack
AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
jina-ai/serve
☁️ Build multimodal AI applications with cloud-native stack
kestra-io/kestra
:zap: Universal Workflow Orchestration Platform — Code in any language, run anywhere. 900+ plugins for data, infrastructure, and AI automation.
PrefectHQ/prefect
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
Avaiga/taipy
Turns Data and AI algorithms into production-ready web applications in no time.
humanlayer/12-factor-agents
What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?
dagster-io/dagster
An orchestration platform for the development, production, and observation of data assets.
apache/dolphinscheduler
Apache DolphinScheduler is the modern data orchestration platform. Agile to create high performance workflow with low-code
wshobson/agents
A collection of production-ready subagents for Claude Code
triggerdotdev/trigger.dev
Trigger.dev – build and deploy fully‑managed AI agents and workflows
docker-archive-public/docker.labs
This is a collection of tutorials for learning how to use Docker with various tools. Contributions welcome.
dataelement/bisheng
BISHENG is an open LLM devops platform for next generation Enterprise AI applications. Powerful and comprehensive features include: GenAI workflow, RAG, Agent, Unified model management, Evaluation, SFT, Dataset Management, Enterprise-level System Management, Observability and more.
mage-ai/mage-ai
🧙 Build, run, and manage data pipelines for integrating and transforming data.
infobyte/faraday
Open Source Vulnerability Management Platform
rundeck/rundeck
Enable Self-Service Operations: Give specific users access to your existing tools, services, and scripts
fleetdm/fleet
Open device management
kubernetes-sigs/headlamp
A Kubernetes web UI that is fully-featured, user-friendly and extensible
nucleuscloud/neosync
Open Source Data Security Platform for Developers to Monitor and Detect PII, Anonymize Production Data and Sync it across environments.
cake-build/cake
:cake: Cake (C# Make) is a cross platform build automation system.
TheHive-Project/TheHive
TheHive: a Scalable, Open Source and Free Security Incident Response Platform
microsandbox/microsandbox
Self-hosted plaform for secure execution of untrusted user/AI code
Netflix/maestro
Maestro: Netflix’s Workflow Orchestrator
nuke-build/nuke
🏗 The AKEless Build System for C#/.NET
TracecatHQ/tracecat
All-in-one automation platform (workflows, tables, cases) for security and IT teams. Open source Splunk SOAR / PAN XSOAR / Tines alternative.
microsoft/service-fabric
Service Fabric is a distributed systems platform for packaging, deploying, and managing stateless and stateful distributed applications and containers at large scale.
apache/cloudstack
Apache CloudStack is an opensource Infrastructure as a Service (IaaS) cloud computing platform
psviderski/uncloud
A lightweight tool for deploying and managing containerised applications across a network of Docker hosts. Bridging the gap between Docker and Kubernetes ✨
ballerine-io/ballerine
Open-source infrastructure and data orchestration platform for risk decisioning
apache/hamilton
Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
koding/koding
The Simplest Way to Manage Your Entire Dev Infrastructure!