A python library which enables developers and data scientists to quickly build any data applications on top of The Graph network. Whether you are building dashboards to visualize protocol data or leveraging existing machine learning models to do some data science work, we hope this library will be the fastest way to get what you want.
This project is made possible by a grant (wave 2) from The Graph foundation.
- An improved way to query data from The Graph network
beta_load_subgraph beta_load_subgraphs
- A set of handy functions for common data transformations (built on Pandas)
beta_aggregate_timeseries beta_aggregate_groupby
- A set of out-of-box charting components to make visualizations effortless (built on Altair)
beta_plot_line beta_plot_bar beta_plot_area beta_plot_combo
- A simple templating system to build dashboards (built on Streamlit)
The entire streamlit component library
pip install BubbleTea-py