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-0.1.1.tar.gz (8.3 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-0.1.1-py3-none-any.whl (9.3 kB view details)

Uploaded Python 3

File details

Details for the file airflow_embedash-0.1.1.tar.gz.

File metadata

  • Download URL: airflow_embedash-0.1.1.tar.gz
  • Upload date:
  • Size: 8.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for airflow_embedash-0.1.1.tar.gz
Algorithm Hash digest
SHA256 0b61c832972adae449974a6106c4133083970e6e6a80b30ce108eaac1e0bc885
MD5 e915b2950dd38ac9d9adc769bc40ff55
BLAKE2b-256 3c59590d8417858373fdcaf6a548cce75bc0066dd37bd2f0823c31858543cde8

See more details on using hashes here.

Provenance

The following attestation bundles were made for airflow_embedash-0.1.1.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-0.1.1-py3-none-any.whl.

File metadata

File hashes

Hashes for airflow_embedash-0.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 a3a2885738dc84cc4d0f00289e3044935ae8d5c0cd45c46e91033f26fa3cc65f
MD5 9dd57ded5fb6851fb506697f46fd2110
BLAKE2b-256 ec338354bd1890ca20b74ab84edb4a45494092a7b5840aa5181d3d1ed072b6ec

See more details on using hashes here.

Provenance

The following attestation bundles were made for airflow_embedash-0.1.1-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