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The Lumen project provides a framework for visual analytics, which allows users to build data-driven dashboards from a simple yaml specification. The power of Lumen comes from the ability to leverage the powerful data intake, data processing and data visualization libraries available in the PyData ecosystem.
The core strengths of Lumen include:
London Bike Points![]() |
NYC Taxi![]() |
Palmer Penguins![]() |
USGS Earthquakes![]() |
Seattle Weather![]() |
Windturbines![]() |
Lumen works with Python 3 and above on Linux, Windows, or Mac. The recommended way to install Lumen is using the conda
command provided by Anaconda or Miniconda
:
conda install -c pyviz lumen
or using PyPI:
pip install lumen
Once installed you will be able to start a Lumen server by running:
lumen serve dashboard.yaml --show
This will open a browser serving the application or dashboard declared by your yaml file in a browser window. During development it is very helpful to use the --autoreload
flag, which will automatically refresh and update the application in your browser window, whenever you make an edit to the dashboard yaml specification. In this way you can quickly iterate on your dashboard.
Try it out! Click on one of the examples below, copy the yaml specification and launch your first Lumen application.