Skip to main content

Add embeded dashboars to Airflow

Project description

Airflow Embedash

A Python package for embedding dashboards in Apache Airflow.

Installation

Install the package using pip:

pip install airflow-embedash

Or in development mode:

pip install -e .

Usage

Create new dashboards

Variable

The default menu label is "Dashboards" but can be changed setup embeded_dashboards_menu_labelvariable.

For private dashboars need metabase token embeded_dashboards_metabase_token

Package Structure

  • src/ - Source code directory
    • __init__.py - Package initialization
    • airflow_embeded_dashboards.py - Main module with the main function

Development

To contribute to this project:

  1. Fork the repository
  2. Create a feature branch
  3. Make your changes
  4. Submit a pull request

License

This project is licensed under the MIT License.

Project details


Download files

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

Source Distribution

airflow_embedash-0.1.8.tar.gz (6.9 kB view details)

Uploaded Source

Built Distribution

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

airflow_embedash-0.1.8-py3-none-any.whl (7.3 kB view details)

Uploaded Python 3

File details

Details for the file airflow_embedash-0.1.8.tar.gz.

File metadata

  • Download URL: airflow_embedash-0.1.8.tar.gz
  • Upload date:
  • Size: 6.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for airflow_embedash-0.1.8.tar.gz
Algorithm Hash digest
SHA256 2c2b6c4b71736bf98d2126e65a44826a3506d1930c3bdf573515c1825e773620
MD5 454dadfcdc334908e2904af4e33f2584
BLAKE2b-256 6840c9213c25f3a7a6a61d50c1723a5cee5aadfc42cc099098b980d55e1a5b7c

See more details on using hashes here.

Provenance

The following attestation bundles were made for airflow_embedash-0.1.8.tar.gz:

Publisher: python-publish.yml on teoria/airflow-embedash

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file airflow_embedash-0.1.8-py3-none-any.whl.

File metadata

File hashes

Hashes for airflow_embedash-0.1.8-py3-none-any.whl
Algorithm Hash digest
SHA256 8d24c87291ddbe4ac6474c4f29b726479afb1c3a4652e775262172697b39ac5c
MD5 3172b729b6f8082eb39299aa2f22f7a6
BLAKE2b-256 bd9bc7e3656a502a035e47eab267f26fe89ad4f33173f61ac6c986fc0122cd3e

See more details on using hashes here.

Provenance

The following attestation bundles were made for airflow_embedash-0.1.8-py3-none-any.whl:

Publisher: python-publish.yml on teoria/airflow-embedash

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

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