mastak / airflow_multi_dagrun
triggering a DAG run multiple times
☆87Updated last year
Alternatives and similar repositories for airflow_multi_dagrun:
Users that are interested in airflow_multi_dagrun are comparing it to the libraries listed below
- Fast iterative local development and testing of Apache Airflow workflows☆200Updated last week
- pytest plugin to run the tests with support of pyspark☆86Updated last month
- Airflow Unit Tests and Integration Tests☆258Updated 2 years ago
- Pylint plugin for static code analysis on Airflow code☆93Updated 4 years ago
- ☆199Updated last year
- Astronomer Core Docker Images☆107Updated 11 months ago
- Airflow Providers containing Deferrable Operators & Sensors from Astronomer☆147Updated last week
- Great Expectations Airflow operator☆163Updated last week
- Example DAGs using hooks and operators from Airflow Plugins☆340Updated 6 years ago
- Enforce Best Practices for all your Airflow DAGs. ⭐☆99Updated last week
- Builds Airflow DAGs from configuration files. Powers all DAGs on the Etsy Data Platform☆261Updated last year
- Apache (Py)Spark type annotations (stub files).☆117Updated 2 years ago
- Airflow declarative DAGs via YAML☆132Updated last year
- Airflow Backfill UI based plugin for existing / new Airflow environment☆65Updated 4 years ago
- REST-like API exposing Airflow data and operations☆61Updated 6 years ago
- An Airflow docker image preconfigured to work well with Spark and Hadoop/EMR☆174Updated last year
- DBT Cloud Plugin for Airflow☆38Updated 11 months ago
- A repository of sample code to show data quality checking best practices using Airflow.☆77Updated 2 years ago
- ☆26Updated last year
- A Getting Started Guide for developing and using Airflow Plugins☆93Updated 6 years ago
- Making DAG construction easier☆262Updated last week
- Python Rest Client to interact against Schema Registry confluent server☆176Updated 2 weeks ago
- Airflow support for Marquez☆32Updated 4 years ago
- A complete development environment setup for working with Airflow☆128Updated 2 years ago
- Quickly get a kubernetes executor airflow environment provisioned on GKE. Azure Kubernetes Service instructions included also as are inst…☆36Updated 4 years ago
- Asynchronous actions for PySpark☆47Updated 3 years ago
- ☆50Updated 4 years ago
- A provider package for kafka☆37Updated last year
- Learn how to add data validation and documentation to a data pipeline built with dbt and Airflow.☆168Updated last year
- Visualize dependencies between Airflow DAGs☆49Updated 3 years ago