119 Open source projects that are alternatives of or similar to Awesome Apache Airflow

A plugin for Apache Airflow that allows you to edit DAGs in browser

A complete development environment setup for working with Airflow

Functional Airflow DAG definitions.

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

A plugin for Apache Airflow that allows you to manage the users that can login

Export Airflow metrics (from mysql) in prometheus format

Apache Airflow - OpenApi Client for Python

Viewflow is an Airflow-based framework that allows data scientists to create data models without writing Airflow code.

Identifies and collects data on cc-licensed content across web crawl data and public apis.

Automating Your Data Pipeline with Apache Airflow

Example end to end data engineering project.

Few projects related to Data Engineering including Data Modeling, Infrastructure setup on cloud, Data Warehousing and Data Lake development.

Elyra extends JupyterLab Notebooks with an AI centric approach.

Bitnami Docker Image for Apache Airflow

An end-to-end GoodReads Data Pipeline for Building Data Lake, Data Warehouse and Analytics Platform.

🐍💻📊 All material from the PyCon.DE 2018 Talk "Beyond Jupyter Notebooks - Building your own data science platform with Python & Docker" (incl. Slides, Video, Udemy MOOC & other References)

Code for Agile Data Science 2.0, O'Reilly 2017, Second Edition

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.

Turbine: the bare metals that gets you Airflow

Airflow basics tutorial

Airflow plugin to export dag and task based metrics to Prometheus.

An Airflow docker image preconfigured to work well with Spark and Hadoop/EMR

ETLy is an add-on dashboard service on top of Apache Airflow.

A plugin for Apache Airflow that exposes rest end points for the Command Line Interfaces

A Data Engineering & Machine Learning Knowledge Hub

A distributed workflow runner focusing on performance and simplicity.

Scientific workflow management

A series of DAGs/Workflows to help maintain the operation of Airflow

Run Airflow in AWS ECS(Elastic Container Service) using Fargate tasks

A facebook for data

Airflow Deployment on AWS ECS Fargate Using Cloudformation

Udacity Data Engineering Nano Degree (DEND)

Apache DolphinScheduler is a distributed and extensible workflow scheduler platform with powerful DAG visual interfaces, dedicated to solving complex job dependencies in the data pipeline and providing various types of jobs available out of box.

📖 [译] Airflow 中文文档

Airflow training for the crunch conf

Dynamically generate Apache Airflow DAGs from YAML configuration files

Temporal service

Conductor is a microservices orchestration engine.

Terraform module to deploy an Apache Airflow cluster on AWS, backed by RDS PostgreSQL for metadata, S3 for logs and SQS as message broker with CeleryExecutor

Docker Apache Airflow

Metric collection, data testing and monitoring for SQL accessible data

Kubernetes custom controller and CRDs to managing Airflow

Airflow workflow management platform chef cookbook.

Yet another helpdesk based on multiple providers

Airflow configuration for Telemetry

Any Airflow project day 1, you can spin up a local desktop Kubernetes Airflow environment AND one in Google Cloud Composer with tested data pipelines(DAGs) 🖥 >> [ 🚀, 🚢 ]

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Minikube for big data with Scala and Spark

🐳📊🤓Cookiecutter template to launch an awesome dockerized Data Science toolstack (incl. Jupyster, Superset, Postgres, Minio, AirFlow & API Star)

afctl helps to manage and deploy Apache Airflow projects faster and smoother.

Workflow engine for Kubernetes

Example of an ETL Pipeline using Airflow

Astronomer Core Docker Images

Developed a data pipeline to automate data warehouse ETL by building custom airflow operators that handle the extraction, transformation, validation and loading of data from S3 -> Redshift -> S3

Bitnami Docker Image for Apache Airflow Scheduler

Fast iterative local development and testing of Apache Airflow workflows

Bare minimal Airflow on Kubernetes (Local, EKS, AKS)

A production-grade data pipeline has been designed to automate the parsing of user search patterns to analyze user engagement. Extract data from S3, apply a series of transformations and load into S3 and Redshift.

Cloudformation templates for deploying Airflow in ECS