Welcome to Web3cat!
November 9, 2022 ยท View on GitHub
.. image:: https://readthedocs.org/projects/web3cat/badge/?version=latest :target: https://web3cat.readthedocs.io/en/latest/?badge=latest :alt: Documentation Status
Welcome to Web3cat!
.. image:: /docs/images/web3cat.png :width: 180
Meow, fellow researcher!
Web3cat is a framework for fetching and analyzing blockchain data.
Currently, it supports only EVM chains: Ethereum <https://ethereum.org>,
Polygon <https://polygon.technology>, BNB <https://www.bnbchain.org>_, etc.
Design philosophy
#. Visualize the data with minimum code #. Free for downloading, saving, and analyzing the data however you want #. Cache the data to avoid re-fetching anything at all #. Fully decentralized, that is, depending only on the blockchain RPC
Quick demo
.. image:: /docs/images/web3cat_demo.gif
Getting started
- Install python package
.. code::
pip install web3cat
2. Set up your archive node rpc. The easiest (and also free) way is to use
Alchemy <https://alchemy.com>_.
- Set initial configuration
.. code::
import os
os.environ['WEB3_PROVIDER_URI'] = 'https://eth-mainnet.g.alchemy.com/v2/<YOUR_ALCHEMY_API_KEY>'
os.environ['WEB3_CACHE_PATH']="cache.sqlite3"
4. (optional for Jupyter) Initialize bokeh for python notebooks
.. code::
from bokeh.io import output_notebook
output_notebook()
5. Run sample visualization
.. code::
from web3cat.view import View
from datetime import datetime
v = View(token="DAI", start=datetime(2022, 6, 1), end = datetime(2022, 10, 30)) \
.total_supply() \
.balance(["0x5d3a536E4D6DbD6114cc1Ead35777bAB948E3643", "0xbEbc44782C7dB0a1A60Cb6fe97d0b483032FF1C7"])
v.show()
.. image:: docs/images/view1.png
-
Get underlying data
.. code::
v.get_data(0).transfers[["date", "block_number", "from", "to", "value"]].. image:: docs/images/view_getting_started1.png
Roadmap
Use framework base layers to add analytics for protocols like Uniswap, Liquity, Aave, Compound, Frax, etc.
Contributing
So far no bureaucracy here, open issues, make pull requests, and have fun!