Superset is an open-source business intelligence and data analytics platform that provides numerous statistical and visualization tools. You can configure Superset to use Datomic as a data source via the included "presto" connector.
Important: First, follow the steps in the Python Setup documentation.
Using the venv created previously:
# From the directory created when making the venv (my-python-env): . venv/bin/activate
Follow the superset install and setup instructions in your Python
venv, starting with:
pip install superset
Once installed, as indicated in the docs, you can launch superset with:
superset run -p 8080 --with-threads --reload --debugger
Ctrl-C to stop the superset server
These setup steps only need to be run the first time you install Superset.
To run it again in the future, return to the my-python-env directory and run: #+begin_src . venv/bin/activate superset run -p 8080 –with-threads –reload –debugger #+end_example
Once Superset is running, it can be found at localhost:8080 in a web browser.
Using Superset with Datomic Analytics
In the Superset Menu Bar Click "Sources" → "Databases" Click the + button to add a new database Choose a name for the DB and enter it in the Name field. In the SQL Alchemy URI field add the DB URI for the Datomic Analytics system:
Click "Test" to test the connection
Check the "Expose in SQL Lab" Option
Configure remaining options (if desired) and click Save to create the Data Source