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-1.0.0a4.tar.gz (31.6 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-1.0.0a4-py3-none-any.whl (34.8 kB view details)

Uploaded Python 3

File details

Details for the file dag_factory-1.0.0a4.tar.gz.

File metadata

  • Download URL: dag_factory-1.0.0a4.tar.gz
  • Upload date:
  • Size: 31.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: uv/0.7.12

File hashes

Hashes for dag_factory-1.0.0a4.tar.gz
Algorithm Hash digest
SHA256 0e3ad6a729407195430cc8921fd39a9cc96d8a2a066732a4180df0a06851a6c7
MD5 aae128f86421af1c70e79f24a2948a2f
BLAKE2b-256 2fcde009b56faf139e9d89363b6e58365c43baadc64f0e901badbc02ee5d346f

See more details on using hashes here.

File details

Details for the file dag_factory-1.0.0a4-py3-none-any.whl.

File metadata

File hashes

Hashes for dag_factory-1.0.0a4-py3-none-any.whl
Algorithm Hash digest
SHA256 b4cb0280d2ad2c4594f7a3e12484d8f443fe8f1f374be213043b38b64f75a3f4
MD5 ddf91e54b6f005acee4e20458ede54ee
BLAKE2b-256 f77717bc25ed4d23a880ba9852f0b0c1dd9b27d2f95edd2fd2e003b0d9117d6d

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