Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
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Updated
Jul 1, 2024 - Python
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
This is a collection of tutorials for learning how to use Docker with various tools. Contributions welcome.
Define and run multi-container applications with Docker
Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production.
Apache DolphinScheduler is the modern data orchestration platform. Agile to create high performance workflow with low-code
Complete container management platform
☁️ Build multimodal AI applications with cloud-native stack
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
An orchestration platform for the development, production, and observation of data assets.
Actor-based state management & orchestration for complex app logic.
An open source payments switch written in Rust to make payments fast, reliable and affordable
Layer5, expect more from your infrastructure
Apache CloudStack is an opensource Infrastructure as a Service (IaaS) cloud computing platform
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
Enable Self-Service Operations: Give specific users access to your existing tools, services, and scripts
Open Source Vulnerability Management Platform
🍰 Cake (C# Make) is a cross platform build automation system.
Turns Data and AI algorithms into production-ready web applications in no time.
🧙 Build, run, and manage data pipelines for integrating and transforming data.
Terraform Oracle Cloud Infrastructure provider
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