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-0.23.0a2.tar.gz (27.0 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-0.23.0a2-py3-none-any.whl (29.6 kB view details)

Uploaded Python 3

File details

Details for the file dag_factory-0.23.0a2.tar.gz.

File metadata

  • Download URL: dag_factory-0.23.0a2.tar.gz
  • Upload date:
  • Size: 27.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: python-httpx/0.28.1

File hashes

Hashes for dag_factory-0.23.0a2.tar.gz
Algorithm Hash digest
SHA256 805593d67df7cbbad0cd45cba5165086e82b8bb9a5bdd94e63f518f4b72527ea
MD5 25c7c4007fd5538dd070896f46ca2202
BLAKE2b-256 231884f76703d7aa1f6a675b3ea6d70aef72b66137bc0fa0625c64a811a23101

See more details on using hashes here.

File details

Details for the file dag_factory-0.23.0a2-py3-none-any.whl.

File metadata

File hashes

Hashes for dag_factory-0.23.0a2-py3-none-any.whl
Algorithm Hash digest
SHA256 33558eb64ec7bc30ec7a6757fa0f5cae2f7e8630f911304d17cc96c704fc941f
MD5 480c2a9a36d91e06f7a7bb867f1ac7d7
BLAKE2b-256 266f1ea8d1f9564fa5a6a85d6c3f60173bcb72ee7ee067b46e3b27562c522cfd

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