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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.
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
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.
Apache DolphinScheduler is the modern data orchestration platform. Agile to create high performance workflow with low-code
Node-based Visual Programming Toolbox
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
Build, Manage and Deploy AI/ML Systems
🧙 Build, run, and manage data pipelines for integrating and transforming data.
[SIGMOD'27] Easy Data Preparation with latest LLMs-based Operators and Pipelines.
Type-safe, distributed orchestration of agents, ML pipelines, and real-time inference on your k8s — in pure Python with async/await, also other languages (rust, go and ts)
ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution
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.
A lightweight opinionated ETL framework, halfway between plain scripts and Apache Airflow
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, 385 components, dbt, CDC, data quality, reverse ETL, lineage, MCP for AI agents. No vendor cloud, no per-row billing.
Simple but powerful DAG scheduler and dashboard
Distributed batch data processing framework
A column-oriented approach to feature engineering. Feature engineering and machine learning: together at last!