Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
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- apache
- apache-airflow
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Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
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.
An orchestration platform for the development, production, and observation of data assets.
Convert documents to structured data effortlessly. Unstructured is open-source ETL solution for transforming complex documents into clean, structured formats for language models. Visit our website to learn more about our enterprise grade Platform product for production grade workflows, partitioning, enrichments, chunking and embedding.
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.
🍴 Web applications made easy. Since 2011.
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.
A lightweight stream processing library for Go
EventMesh is a new generation serverless event middleware for building distributed event-driven applications.
:truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
Simple but powerful DAG scheduler and dashboard
StreamFlow™ is a stream processing tool designed to help build and monitor processing workflows.
Machine is a workflow/pipeline library for processing data
Distributed batch data processing framework
A library to build and execute typed scientific workflows
Distributed, Scalable, Fault-Tolerant, Minimalistic Workflow Engine - No DAGs, No YAML, No Cumbersome Diagrams, Just Code
🎲 Dotflow turns an idea into flow! — Lightweight Python library for execution pipelines