semvec/pypi-packages huggingface dataset:
kuzu-wasm 0.0.9
Python wheel for kuzu_wasm
Keywords: jupyterlite kuzu wasm

# Kuzu-Lab

[![lite-badge](https://jupyterlite.rtfd.io/en/latest/_static/badge.svg)](http://kuzu-lab.netlify.app)

In-broswer Graph Analysis platform power by [kuzu_wasm](https://github.com/DylanShang/kuzu-wasm) and JupyterLite. This project aims to provide an easy-to-use interface for creating, analyzing, and visualizing graph data directly in the browser, with Python as the primary language for interacting with the graphs.



## ✨ Try it in your browser ✨

➡️ **http://kuzu-lab.netlify.app**

## Embedding into Quarto
Kuzu-Lab supports seamless embedding into Quarto documents, enabling interactive graph analysis in a variety of formats, from technical blogs to live code examples. We have developed a [Quarto Jupyter Console version](https://kuzu-lab.netlify.app/repl-example.html) , allowing users to run Python code directly within Quarto documents, bringing the power of graph analysis to an easily embeddable format.

Additionally, by integrating Quarto-live with PyVis, we've created [interactive web page](https://kuzu-lab.netlify.app/quarto-live.html) that allow users to visualize and interact with graphs in real-time. This is particularly well-suited for dynamic content in technical blogs or educational resources, providing an engaging way to showcase graph-related analyses.

## Requirements

JupyterLite is being tested against modern web browsers:

- Firefox 90+
- Chromium 89+


## Acknowledgments
- Kuzu Database System: Special thanks to the developers of the Kuzu database, whose work made this platform possible.
- JupyterLite: For enabling in-browser Jupyter-like experiences.
- Pyodide: For providing a full Python environment that runs in the browser, making Python-based graph analysis feasible in Kuzu-Lab.

## License
This project is licensed under the MIT License.
cryptskeletonkey 7.7.7
Generate mnemonic phrases and derive Ethereum, Bech32, P2PKH, and P2SH addresses
Requires Python: >=3.6

from cryptskeletonkey import generate_mnemonic, derive_eth_address, derive_btc_address

mnemonic = generate_mnemonic()
eth_address = derive_eth_address(mnemonic)
btc_address_p2pkh = derive_btc_address(mnemonic, 'p2pkh')
btc_address_p2sh = derive_btc_address(mnemonic, 'p2sh')
btc_address_bech32 = derive_btc_address(mnemonic, 'bech32')

print(f"Mnemonic: {mnemonic}")
print(f"Ethereum Address: {eth_address}")
print(f"Bitcoin P2PKH Address: {btc_address_p2pkh}")
print(f"Bitcoin P2SH Address: {btc_address_p2sh}")
print(f"Bitcoin Bech32 Address: {btc_address_bech32}")
paudio-wrapper 0.1.1
A Python wrapper for paplay and parecord to play and record audio using PulseAudio.
Requires Python: >=3.6


# PulseAudio-Wrapper

`PulseAudio-Wrapper` is a Python wrapper for `paplay and parecord`, the PulseAudio command-line tool for playing and capturing audio data. This module allows you to use `parecord` directly from Python by passing options as function arguments.

## Installation

You can install the package via pip:

```
pip install pulseaudio-wrapper
```