
Apache Airflow
Open Source. Wherever you want to share your improvement you can do this by opening a PR. It’s simple as that, no barriers, no prolonged procedures. Airflow has many active users who …
What is Airflow®? — Airflow Documentation - Apache Airflow
Apache Airflow® is an open-source platform for developing, scheduling, and monitoring batch-oriented workflows. Airflow’s extensible Python framework enables you to build workflows …
Use Cases - Apache Airflow
Apache Airflow® allows you to define almost any workflow in Python code, no matter how complex. Because of its versatility, Airflow is used by companies all over the world for a variety …
Documentation - Apache Airflow
Documentation Apache Airflow® Apache Airflow Core, which includes webserver, scheduler, CLI and other components that are needed for minimal Airflow installation.
Community - Apache Airflow
You are also encouraged to open a PR with your bug fix. Take a look at our contribution guidelines to learn more about contributing. If you are unsure if you are encountering a …
Meetups - Apache Airflow
Voice your intent. In describing your event, remember to specify the intended audience – e.g., beginners, intermediates, developers, or architects.
Quick Start — Airflow Documentation - Apache Airflow
If you wish to install Airflow using those tools you should use the constraint files and convert them to appropriate format and workflow that your tool requires. This guide will help you quickly set …
Ecosystem - Apache Airflow
Meltano - Open source, self-hosted, CLI-first, debuggable, and extensible ELT tool that embraces Singer for extraction and loading, leverages dbt for transformation, and integrates with Airflow …
Adyen - Apache Airflow
With the quickly increasing number of users and teams, time spent on fixing issues increased, severely limiting development speed. Furthermore, due to it not being open source, we …
Tutorials — Airflow Documentation - Apache Airflow
Airflow 101: Building Your First Workflow; Pythonic DAGs with the TaskFlow API; Building a Simple Data Pipeline; Cloud-Native Workflows with Object Storage