web3cat 0.1.8

Data visualization for EVM-based blockchains

Welcome to Web3cat!

Meow, fellow researcher!

Web3cat is a framework for fetching and analyzing blockchain data.

Currently, it supports only EVM chains: Ethereum, Polygon, BNB, etc.

Design philosophy

1. Visualize the data with minimum code

2. Free for downloading, saving, and analyzing the data however you want

3. Cache the data to avoid re-fetching anything at all

4. Fully decentralized, that is, depending only on the blockchain RPC

Quick demo

Getting started

1. Install python package

pip install web3cat

2. Set up your archive node rpc. The easiest (and also free) way is to use Alchemy.

3. Set initial configuration

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

from bokeh.io import output_notebook

output_notebook()

5. Run sample visualization

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()

6. Get underlying data

   v.get_data(0).transfers[["date", "block_number", "from", "to", "value"]]

   

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!