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Orchestrate everything, everywhere. The open-source control plane for workflows across data, infrastructure, business processes and AI agents. Declarative YAML, event-driven, any language, Git-versioned, scalable to millions of executions.
Apache DolphinScheduler is the modern data orchestration platform. Agile to create high performance workflow with low-code
Node-based Visual Programming Toolbox
🧙 Build, run, and manage data pipelines for integrating and transforming data.
ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.
AI Infra / AI Orchestration / AI Control Plane
DataSphereStudio is a one stop data application development& management portal, covering scenarios including data exchange, desensitization/cleansing, analysis/mining, quality measurement, visualization, and task scheduling.
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.
Build data pipelines with SQL and Python, ingest data from different sources, add quality checks, and build end-to-end flows.
Open-source ETL/ELT you deploy on your own servers or cloud. Built on DuckDB: no-code/low-code visual pipelines or SQL, 426 components, dbt, CDC, data quality, reverse ETL, lineage, MCP for AI agents. No vendor cloud, no per-row billing.
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
Build and deploy a serverless data pipeline on AWS with no effort.
A column-oriented approach to feature engineering. Feature engineering and machine learning: together at last!