airflow-maintenance-dags
airflow-chart
| airflow-maintenance-dags | airflow-chart | |
|---|---|---|
| 1 | 1 | |
| 1,599 | 267 | |
| 0.9% | 0.0% | |
| 0.0 | 7.4 | |
| 3 months ago | 13 days ago | |
| Python | Python | |
| Apache License 2.0 | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
airflow-maintenance-dags
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Airflow meta-db cleaning
Use these maintenance DAGs from the project https://github.com/teamclairvoyant/airflow-maintenance-dags
airflow-chart
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What are the differences between Astronomer's airflow chart and the community one? Which one is better?
Hi folks, I want to deploy airflow into production on Kubernetes, and I found two different helm charts, one from Astronomer: https://github.com/astronomer/airflow-chart and another from the community which is maintained by airflow contributor: https://github.com/airflow-helm/charts.
What are some alternatives?
astro - Astro SDK allows rapid and clean development of {Extract, Load, Transform} workflows using Python and SQL, powered by Apache Airflow. [Moved to: https://github.com/astronomer/astro-sdk]
charts - The User-Community Airflow Helm Chart is the standard way to deploy Apache Airflow on Kubernetes with Helm. Originally created in 2017, it has since helped thousands of companies create production-ready deployments of Airflow on Kubernetes.
astro-sdk - Astro SDK allows rapid and clean development of {Extract, Load, Transform} workflows using Python and SQL, powered by Apache Airflow.
splunk-connect-for-kubernetes - Helm charts associated with kubernetes plug-ins
ask-astro - An end-to-end LLM reference implementation providing a Q&A interface for Airflow and Astronomer
elyra - Elyra extends JupyterLab with an AI centric approach.
incubator-airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows [Moved to: https://github.com/apache/airflow]
astronomer-cosmos - Run your dbt Core projects as Apache Airflow DAGs and Task Groups with a few lines of code
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
stream-iot - An end-to-end workflow for processing streaming data on Azure.