Top 16 apache-airflow Open-Source Projects

• Airflow

  169 34,570 10.0 Python

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

  

Project mention: Building in Public: Leveraging Tublian's AI Copilot for My Open Source Contributions | dev.to | 2024-02-12

Contributing to Apache Airflow's open-source project immersed me in collaborative coding. Experienced maintainers rigorously reviewed my contributions, providing constructive feedback. This ongoing dialogue refined the codebase and honed my understanding of best practices.

• elyra

  2 1,776 6.3 Python

  Elyra extends JupyterLab with an AI centric approach.

  

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• airflow-maintenance-dags

  1 1,601 0.0 Python

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

  

• couler

  1 889 5.2 Python

  Unified Interface for Constructing and Managing Workflows on different workflow engines, such as Argo Workflows, Tekton Pipelines, and Apache Airflow.

  

Project mention: (Not) to Write a Pipeline | news.ycombinator.com | 2023-06-27

author seems to be describing the kind of patterns you might make with https://argoproj.github.io/argo-workflows/ . or see for example https://github.com/couler-proj/couler , which is an sdk for describing tasks that may be submitted to different workflow engines on the backend.

it's a little confusing to me that the author seems to object to "pipelines" and then equate them with messaging-queues. for me at least, "pipeline" vs "workflow-engine" vs "scheduler" are all basically synonyms in this context. those things may or may not be implemented with a message-queue for persistence, but the persistence layer itself is usually below the level of abstraction that $current_problem is really concerned with. like the author says, eventually you have to track state/timestamps/logs, but you get that from the beginning if you start with a workflow engine.

i agree with author that message-queues should not be a knee-jerk response to most problems because the LoE for edge-cases/observability/monitoring is huge. (maybe reach for a queue only if you may actually overwhelm whatever the "scheduler" can handle.) but don't build the scheduler from scratch either.. use argowf, kubeflow, or a more opinionated framework like airflow, mlflow, databricks, aws lamda or step-functions. all/any of these should have config or api that's robust enough to express rate-limit/retry stuff. almost any of these choices has better observability out-of-the-box than you can easily get from a queue. but most importantly.. they provide idioms for handling failure that data-science folks and junior devs can work with. the right way to structure code is just much more clear and things like structuring messages/events, subclassing workers, repeating/retrying tasks, is just harder to mess up.

• astronomer-cosmos

  8 457 9.4 Python

  Run your dbt Core projects as Apache Airflow DAGs and Task Groups with a few lines of code

  

• ethereum-etl-airflow

  7 387 9.0 Python

  Airflow DAGs for exporting, loading, and parsing the Ethereum blockchain data. How to get any Ethereum smart contract into BigQuery https://towardsdatascience.com/how-to-get-any-ethereum-smart-contract-into-bigquery-in-8-mins-bab5db1fdeee

  

Project mention: ethereum-etl-airflow: NEW Data - star count:358.0 | /r/algoprojects | 2023-07-10

• astro-cli

  5 324 9.3 Go

  CLI that makes it easy to create, test and deploy Airflow DAGs to Astronomer

  

Project mention: Run Apache Airflow through Docker | /r/dataengineering | 2023-06-25

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• astro-sdk

  7 319 8.5 Python

  Astro SDK allows rapid and clean development of {Extract, Load, Transform} workflows using Python and SQL, powered by Apache Airflow.

  

Project mention: Orchestration: Thoughts on Dagster, Airflow and Prefect? | /r/dataengineering | 2023-06-01

Have you tried the Astro SDK? https://github.com/astronomer/astro-sdk

• airflow-chart

  1 267 7.4 Python

  A Helm chart to install Apache Airflow on Kubernetes

  

• airflowctl

  1 169 8.0 Python

  A CLI tool to streamline getting started with Apache Airflow™ and managing multiple Airflow projects

Project mention: A look at airflowctl, a tool to help developers manage Apache Airflow projects | dev.to | 2023-08-14

NOTE! I found a small issue in that when you run in background mode, it creates a file (.airflowctl/.background_process_ids) which contains the parent PID. The PID was always off, so I needed to manually edit this. I have created an issue here so if this happens to you, follow that.

• uber-expenses-tracking

  2 94 2.6 Jupyter Notebook

  The goal of this project is to track the expenses of Uber Rides and Uber Eats through data Engineering processes using technologies such as Apache Airflow, AWS Redshift and Power BI.

• terraform-aws-mwaa

  1 33 4.8 HCL

  Terraform module for Amazon MWAA(Apache Airflow)

  

• Masters-Thesis-on-Big-Data

  1 22 0.0 CSS

  Master's thesis on Big Data

• covid-19-data-engineering-pipeline

  1 22 5.3 Python

  A Covid-19 data pipeline on AWS featuring PySpark/Glue, Docker, Great Expectations, Airflow, and Redshift, templated in CloudFormation and CDK, deployable via Github Actions.

• F2-Data-Pipeline

  1 8 5.9 Python

  Pipeline for Automated Updates of Kaggle's "Formula 2 Dataset"

Project mention: First End-to-End Data Engineering Project: Formula 2 Data Pipeline for for Automated Updates of a Kaggle's dataset. | /r/dataengineering | 2023-07-06

GitHub Repository: here

• twitter_data-lakehouse_minio_drill_superset

  1 3 10.0 Python

  Building a Data Lakehouse for Analyzing Elon Musk Tweets using MinIO, Apache Airflow, Apache Drill and Apache Superset

• SaaSHub

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• A note from our sponsor - InfluxDB
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