Welcome to the Mortar Analytics Library! This is an open source, community-driven library of portable building analytics intended to be used with the Mortar data platform.
For a complete description of the Mortar project, please visit mortardata.org
- You can create an issue
- You can subscribe to the mailing list:
mortar-users [ AT ] lists [ DOT ] eecs [ DOT ] berkeley [ DOT ] edu
-
Follow the Quick Start guide. This boils down to the following:
- make an account on mortardata.org
- clone this repository
- install the PyMortar library with Python >= 3.5:
pip install pymortar
-
cd
into the directory withinmortar-analytics
of the application you want to runcd mortar-analytics/meter_data_example
-
(optional, but recommended) Install the app's dependencies using the requirements.txt in a virtual environment
python3 -m venv venv source venv/bin/activate pip install -r requirements.txt
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Execute the application
python -i app.py
You can also execute applications inside a Jupyter notebook context, which will allow you to browse generated visualizations in the browser along with the code. The Docker container in the Quick Start (step 1) will create this environment for you
See CONTRIBUTING
Mortar is a research project from UC Berkeley.