A Pythonic data access layer for applications querying data from The Graph Network.
An intuitive Python library for interfacing with subgraphs and GraphQL.
SyntheticFields transformation system.Subgrounds requires atleast Python 3.10+
Subgrounds is available on PyPi. To install it, run the following:
pip install subgrounds.
Subgrounds also comes bundled with extra modules that may require extra libraries. You can get all functionality of subgrounds via the following:
pip install subgrounds[all].
>>> from subgrounds import Subgrounds
>>> sg = Subgrounds()
>>> # Load
>>> aave_v3 = sg.load_subgraph("https://api.thegraph.com/subgraphs/name/messari/aave-v3-ethereum")
>>> # Construct the query
>>> largest_markets = aave_v3.Query.markets(
... orderBy=aave_v3.Market.totalValueLockedUSD,
... orderDirection='desc',
... first=5,
... )
>>> # Return query to a dataframe
>>> sg.query_df([
... largest_markets.name,
... largest_markets.totalValueLockedUSD,
... ])
markets_name markets_totalValueLockedUSD
0 Aave Ethereum wstETH 1.915090e+09
1 Aave Ethereum WETH 1.047417e+09
2 Aave Ethereum WBTC 6.049655e+08
3 Aave Ethereum USDC 4.482461e+08
4 Aave Ethereum USDT 4.280103e+08
Playgrounds Analytics is a data solutions company providing data infrastructures and services for data teams, analysts, and engineers. Check us out here to learn more!
This software project would not be possible without the support of The Graph Foundation. You can learn more about The Graph and its mission here.
FAQs
A Pythonic data access layer for applications querying data from The Graph Network.
We found that subgrounds demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers collaborating on the project.
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