The Basics#


This documentation is ✨ interactive ✨, allowing you to easily test and experiment with subgrounds. By clicking the "Run Code" button below, a Python server will be launched in the background using Jupyter Notebook. This will give you access to a Python environment where you can execute and interact with subgrounds code in real-time.

Each code block acts like a cell within a Jupyter notebook which means they are connected. So Subgrounds created in an earlier cell can be reused in lower ones.

Once you click the "Run Code" button, the code cells will visually change with 3 new buttons:




This executes the current cell


This will restart the kernel

Restart & Run All

This will restart the kernel and run every cell from top to bottom.

The easiest way to interact with the docs is via the "Restart & Run All" button as it ensures that all the python state is loaded corrected. Then you can feel free to edit a cell and click "Run" to play around as you please.


After you click "Run Code", interactivity will begin to hydrate the page and This takes time. In some cases, you might need to refresh the page and try again.

This feature is best used on the latest Chrome-based browsers, feel free to report any issues on other browsers to our Discord.


The Subgrounds class provides the top level API and most users will be using this class exclusively. This class is used to load (i.e.: introspect) GraphQL APIs (subgraph or vanilla GraphQL APIs) as well as execute querying operations. Moreover, this class is meant to be used as a singleton, i.e.: initialized once and reused throughout a project.

The code cell below demonstrates how to initialize your Subgrounds object and load a GraphQL API.

Both load_subgraph and load_api result in similar structures except subgraphs provide better optics since there's more schema data to explore.

Loading Aave v2 and snapshot api sources#
from subgrounds import Subgrounds

# Initialize Subgrounds
sg = Subgrounds()

# Load a subgraph using its API URL
aave_v2 = sg.load_subgraph('')

# Load a vanilla GraphQL API using its API URL
snapshot = sg.load_api('')

Getting the Data#

Once you load in your subgraphs (or vanilla APIs), you can start gathering data via query().

Gathering the names of the latest markets in Aave#
Gathering the titles and scores of the latest proposals from snapshot#