airflow-cron

Generate declarative Airflow DAG models from cron configuration.

from airflow_cron import CronAirflowConfiguration, create_dags

config = CronAirflowConfiguration.model_validate(
    {
        "job": {
            "backup": {
                "schedule": "0 2 * * *",
                "command": "/opt/jobs/backup",
            }
        }
    }
)

dag_models = create_dags(config)

Each enabled user-crontab job becomes one airflow-pydantic DAG containing one Bash task. The result can be instantiated directly or added to an airflow-config configuration.

Documentation

Published documentation is available at airflow-laminar.github.io/airflow-cron.

Ecosystem

cron-pydantic provides the source crontab models.
supervisor-pydantic and systemd-pydantic model process managers.
airflow-supervisor and airflow-systemd manage long-running jobs.
airflow-pydantic supplies generated DAG and task models.
airflow-config applies shared YAML configuration and materializes DAGs.

Metadata

Release files for airflow-cron 0.1.2

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Source distribution for airflow-cron 0.1.2
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Table of built distributions (wheels) for airflow-cron 0.1.2
File	Interpreter	ABI	Platform	Reset
airflow_cron-0.1.2-py3-none-any.whl 11.2 kB Oct 17, 2026 Without provenance	Python 3	none	any	Details

Total release size: 21.6 kB

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Download URL	airflow_cron-0.1.2.tar.gz
Size	10.5 kB
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Uploaded via	`twine/7.0.0 CPython/3.11.15`

Release files / airflow_cron-0.1.2-py3-none-any.whl

Download URL	airflow_cron-0.1.2-py3-none-any.whl
Size	11.2 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`f92294c36e83cd059bf209b404fa24d1bfff9ca253baf536fdee68b6b99c48e5`
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Upload date	Oct 17, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/7.0.0 CPython/3.11.15`

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