Skip to main content

Dynamically build Apache Airflow DAGs from YAML files

Project description

dag-factory

Github Actions Coverage PyPi Code Style Downloads

analytics

Welcome to dag-factory! dag-factory is a library for Apache Airflow® to construct DAGs declaratively via configuration files.

The minimum requirements for dag-factory are:

For a gentle introduction, please take a look at our Quickstart Guide. For more examples, please see the examples folder.

Benefits

  • Construct DAGs without knowing Python
  • Construct DAGs without learning Airflow primitives
  • Avoid duplicative code
  • Everyone loves YAML! ;)

License

To learn more about the terms and conditions for use, reproduction and distribution, read the Apache License 2.0.

Privacy Notice

This project follows Astronomer's Privacy Policy.

For further information, read this

Security Policy

Check the project's Security Policy to learn how to report security vulnerabilities in DAG Factory and how security issues reported to the DAG Factory security team are handled.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

dag_factory-1.0.0a1.tar.gz (31.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

dag_factory-1.0.0a1-py3-none-any.whl (34.3 kB view details)

Uploaded Python 3

File details

Details for the file dag_factory-1.0.0a1.tar.gz.

File metadata

  • Download URL: dag_factory-1.0.0a1.tar.gz
  • Upload date:
  • Size: 31.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: uv/0.7.12

File hashes

Hashes for dag_factory-1.0.0a1.tar.gz
Algorithm Hash digest
SHA256 ca0f313daee214e0b4209bb60299d66c3b2661e562915a6008925ad64f2b268e
MD5 5d0557f896ae6efb103cb80967f55fdd
BLAKE2b-256 e80069aa004dc5a6c113d055dcfd585d7215d196032558a149bbf91866153bac

See more details on using hashes here.

File details

Details for the file dag_factory-1.0.0a1-py3-none-any.whl.

File metadata

File hashes

Hashes for dag_factory-1.0.0a1-py3-none-any.whl
Algorithm Hash digest
SHA256 ebd9028518029c27747a3b34529a38e0cef5998db3af4387b48a2b2203ab26ee
MD5 2cd142e5b1249b81e81f48688951e3e4
BLAKE2b-256 9489565f8cb704a58032aaf60ecb4144e4c8612a65b0a341ad342aebb2a43177

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page