semvec/pypi-packages huggingface dataset:
kanalizer 0.1.1
英単語から読みへの変換を行うライブラリ
License: MIT
Requires Python: >=3.9

# kanalizer

英単語から読みへの変換を行うライブラリ。\
[kanalizer](https://github.com/VOICEVOX/kanalizer/tree/main/infer/crates/kanalizer-rs)のPythonバインディングです。

## 使い方

```py
# 文字列をカタカナに変換する例
import kanalizer

word = "kanalizer"
print(kanalizer.convert(word)) # => カナライザー
```

## ライセンス

MIT License にて公開しています。
Rustで依存しているクレートのライセンスは、生成されるNOTICE.mdを参照してください。
sqlagent-python 0.0.1
A Toolkit for building SQL Agents that use Python to interact with a SQL database.
License: MIT
Requires Python: >=3.10

# SQLAgent

SQLAgent is a toolkit that allows creating agents that interact with a SQL database.

It uses a [forked version](https://github.com/rvijayc/AgentRun) of the [AgentRun](https://github.com/tjmlabs/AgentRun) repository that allows safe execution of Python code inside a Docker container.

> Todo: More Documentation to follow.
scraipe 0.1.73
AI web scraping workflow.
License: MIT
Requires Python: <4.0,>=3.10

# Scraipe
[![pypi](https://img.shields.io/pypi/v/scraipe.svg)](https://pypi.python.org/pypi/scraipe)
[![versions](https://img.shields.io/pypi/pyversions/scraipe.svg)](https://github.com/snpm/scraipe)
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://github.com/SnpM/scraipe/blob/main/LICENSE)

Scraping and analysis framework. Under development.

## Features
- **Versatile Scraping**: Leverage custom scrapers that handle Telegram messages, news articles, and links that require multiple ingress rules.
- **LLM Analysis:** Process text using OpenAI models with built-in Pydantic validation.
- **Workflow Management:** Combine scraping and analysis in a single fault-tolerant workflow--ideal for Jupyter notebooks.
- **High Performance**: Asynchronous IO-bound tasks are seamlessly integrated in the synchronous API.
- **Modular**: Extend the framework with new scrapers or analyzers as your data sources evolve.
- **Customizable Ingress**: Easily define rules to dynamically route different links to their appropriate scrapers.
- **Detailed Logging**: Monitor scraping and analysis operations through robust errors for improved debugging and transparency.

Check out [the demo](https://scraipe.streamlit.app/).

## Help

See [documentation](https://scraipe.readthedocs.io/en/latest/) for details.

## Installation

Ensure you are using Python>=3.10. Install Scraipe and all built-in scrapers/analyzers:
```bash
pip install scraipe[extended]
```

Alternatively, install the core library with:
```bash
pip install scraipe
```

## Example

```python
 # Import components from scraipe
 from scraipe.defaults import TextScraper
 from scraipe.defaults import TextStatsAnalyzer
 from scraipe import Workflow

 # Initialize the scraper and analyzer
 scraper = TextScraper()
 analyzer = TextStatsAnalyzer()

 # Create the workflow instance
 workflow = Workflow(scraper, analyzer)

 # List urls to scrape
 urls = [
     "https://example.com",
     "https://rickandmortyapi.com/api/character/1",
     "https://ckaestne.github.io/seai/"
 ]

 # Run the workflow
 workflow.scrape(urls)
 workflow.analyze()

 # Print the results
 results = workflow.export()
 print(results)
 ```
   
## Contributing

Contributions are welcome. Please open an issue or submit a pull request for improvements.

Run `poetry install --with dev,docs --extras extended` to install all dependences for the project.

## Maintainer
This project is maintained by [nibs](https://github.com/SnpM).