Python apache-airflow

Open-source Python projects categorized as apache-airflow

Top 12 Python apache-airflow Projects

  • Airflow

    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

    Elyra extends JupyterLab with an AI centric approach.

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

  • airflow-maintenance-dags

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

    Project mention: Airflow meta-db cleaning | /r/dataengineering | 2023-04-06

    Use these maintenance DAGs from the project https://github.com/teamclairvoyant/airflow-maintenance-dags

  • couler

    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

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

    Project mention: Run dbt projects as Apache Airflow DAGs and Task Groups with a few lines of code | news.ycombinator.com | 2023-05-01
  • ethereum-etl-airflow

    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-sdk

    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

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  • airflow-chart

    A Helm chart to install Apache Airflow on Kubernetes

  • airflowctl

    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.

  • covid-19-data-engineering-pipeline

    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.

    Project mention: COVID-19 data pipeline on AWS feat. Glue/PySpark, Docker, Great Expectations, Airflow, and Redshift, templated in CF/CDK, deployable via Github Actions | /r/dataengineering | 2023-04-03

    I've seen amazing projects here already, which honestly were a great inspiration, and today I would like to show you my project. Some time ago, I had the idea to apply every tool I wanted to learn or try out to the same topic and since then this idea has grown into an entire pipeline: https://github.com/moritzkoerber/covid-19-data-engineering-pipeline

  • F2-Data-Pipeline

    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

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

NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020). The latest post mention was on 2024-02-12.

Python apache-airflow related posts

Index

What are some of the best open-source apache-airflow projects in Python? This list will help you:

Project Stars
1 Airflow 34,099
2 elyra 1,756
3 airflow-maintenance-dags 1,583
4 couler 879
5 astronomer-cosmos 431
6 ethereum-etl-airflow 385
7 astro-sdk 312
8 airflow-chart 266
9 airflowctl 165
10 covid-19-data-engineering-pipeline 22
11 F2-Data-Pipeline 8
12 twitter_data-lakehouse_minio_drill_superset 3
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