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-0.23.0a6.tar.gz (28.2 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-0.23.0a6-py3-none-any.whl (31.0 kB view details)

Uploaded Python 3

File details

Details for the file dag_factory-0.23.0a6.tar.gz.

File metadata

  • Download URL: dag_factory-0.23.0a6.tar.gz
  • Upload date:
  • Size: 28.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.7.12

File hashes

Hashes for dag_factory-0.23.0a6.tar.gz
Algorithm Hash digest
SHA256 d49aac1515528db871dd6493999f59e749e5a99503d2a4c227aa454708879420
MD5 32c20c3f4298d3f84dfbea62ca50db35
BLAKE2b-256 cd33a18bd7796503eb8c9f7dbb520816d4f918e063e8ffdaf8cf76d013c359e3

See more details on using hashes here.

File details

Details for the file dag_factory-0.23.0a6-py3-none-any.whl.

File metadata

File hashes

Hashes for dag_factory-0.23.0a6-py3-none-any.whl
Algorithm Hash digest
SHA256 8d3142ace8cb2ae6e7dd4fe75b094300e9289248d0ef878f8ffe4593515bb558
MD5 3a2124233313095c7026e6188e6b5201
BLAKE2b-256 da56d621fdea9c68d2e530c203bd682633794b59ad459c18d6f8f12592291231

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