apache-airflow 3.1.7

Programmatically author, schedule and monitor data pipelines

Stars: 44300, Watchers: 44300, Forks: 16498, Open Issues: 1762

The apache/airflow repo was created 10 years ago and the last code push was an hour ago.
The project is extremely popular with a mindblowing 44300 github stars!

How to Install apache-airflow

You can install apache-airflow using pip

pip install apache-airflow

or add it to a project with poetry

poetry add apache-airflow

Package Details

Author

None

License

None

Homepage

None

PyPi:

https://pypi.org/project/apache-airflow/

Documentation:

https://airflow.apache.org/docs/

GitHub Repo:

https://github.com/apache/airflow

Classifiers

• System/Monitoring

Related Packages

Errors

A list of common apache-airflow errors.

Code Examples

Here are some apache-airflow code examples and snippets.

GitHub Issues

The apache-airflow package has 1762 open issues on GitHub

• Fix TriggerDagRunOperator extra link visibility during task execution
• Enable per-bundle DAG processor deployments in Helm chart
• Fix middleware order to prevent chunked FastAPI responses
• Fix airflowctl crash when incorrect keyring password is entered
• Changed dag_bundle.signed_url_template from varchar(200) to text
• Ensure back-compat for new Celery settings
• Chart: Implement deployPerBundle feature for DAG processor deployments
• Proposal: Per-Bundle DAG Processor Deployments in Helm Chart
• Fix connection resolution in CLI by setting server process context in decorators
• [Bug] airflow dag-processor -B <name> fails to resolve connection for the specified bundle
• Update Stackdriver wording in docstrings
• Chart: Fix gitsync version handling
• Fix Edge plugin NavTabs navigation for React Router v7
• Isolate AWS CLI cache during KubernetesPodOperator authentication
• Log DAG on_failure_callback output to scheduler logs

See more issues on GitHub