semvec/pypi-packages huggingface dataset:
scribblehub-to-epub 0.0.5
This scrapes books from https://www.scribblehub.com/ and  creates epub from them
Requires Python: >=3.8

# Scribble to EPUB

![publishing workflow](https://github.com/hazel-noack/scribblehub-to-epub/actions/workflows/python-publish.yml/badge.svg)

A command-line tool to convert ScribbleHub stories into EPUB format.

## Description

This tool scrapes books from [ScribbleHub](https://www.scribblehub.com/) and converts them into EPUB files for offline reading. It preserves chapter structure and includes author information and other metadata.

## Features

- Converts ScribbleHub stories to EPUB format
- Preserves chapter structure and titles
- Includes author information and notes (by default)
- Customizable output filename

## Installation

```bash
pip install scribblehub-to-epub
```

## Usage

```bash
scribble-to-epub [OPTIONS] URL
```

### Options

| Option | Description |
|--------|-------------|
| `--output OUTPUT` | Optional output file name for the EPUB |
| `--disable-author-quotes` | Disable author quotes in the EPUB (default: False) |

### Example

```bash
scribble-to-epub https://www.scribblehub.com/series/123456/story-title/
```

## Credits

This project uses significant code from [agmlego/py-scribblehub-to-epub](https://github.com/agmlego/py-scribblehub-to-epub). Many thanks to the original author for their work.

## License

This project is licensed under the **Opinionated Queer License v1.2**. So use is strictly prohibited for cops, military and everyone who doesn't like human rights.

## Notes

The default behavior includes author quotes in the EPUB to show appreciation for the author's work. While there's an option to disable this (`--disable-author-quotes`), it's recommended to keep them enabled to support the authors.

If you encounter any issues with the EPUB formatting of author notes, please consider reporting them as issues rather than immediately disabling the quotes.
jaas-api 0.1.1
Python SDK for JaaS AI evaluation API
Requires Python: >=3.7
Keywords: ai, evaluation, api, sdk, machine learning, llm

# JaaS API Python SDK

[![PyPI version](https://badge.fury.io/py/jaas-api.svg)](https://badge.fury.io/py/jaas-api)
[![Python Support](https://img.shields.io/pypi/pyversions/jaas-api.svg)](https://pypi.org/project/jaas-api/)
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)

A Python SDK for interacting with the JaaS AI evaluation API. This library provides a simple and intuitive interface for evaluating AI-generated responses against various criteria.

Visit jaas-ai.net for more information.
Note: a JaaS AI API key is required. 

## Features

- 🚀 Simple and intuitive API
- 🔧 Support for multiple evaluation types (S, C, D, V)
- 📊 Comprehensive evaluation criteria support
- 🛡️ Robust error handling
- 📝 Type hints for better IDE support
- 🐍 Python 3.7+ support

## Installation

### From PyPI (recommended)

```bash
pip install jaas-api
```


## Quick Start

```python
from jaas_api import JaaSEvaluationClient

# Initialize the client with your API key
client = JaaSEvaluationClient(api_key="your-api-key-here")

# Evaluate an AI response
result = client.evaluate(
    question="What is the capital of France?",
    answer="The capital of France is Paris.",
    evaluation_criteria=["accuracy", "completeness", "clarity"],
    eval_type="S"
)

print(result)
```

## API Reference

### JaaSEvaluationClient

The main client class for interacting with the JaaS API.

#### Constructor

```python
JaaSEvaluationClient(api_key: str)
```

- `api_key` (str): Your JaaS API key

#### Methods

##### evaluate()

Submit an evaluation request to the JaaS API.

```python
def evaluate(
    self,
    question: str,
    answer: str,
    evaluation_criteria: List[str],
    eval_type: str = "S",
    ground_truth_answer: Optional[str] = None,
    context: Optional[str] = None,
    cohort: Optional[str] = None
) -> Dict
```

**Parameters:**

- `question` (str): The input question
- `answer` (str): The AI-generated answer to evaluate
- `evaluation_criteria` (List[str]): List of criteria to evaluate against
- `eval_type` (str, optional): Evaluation type. Options:
- `ground_truth_answer` (str, optional): Reference answer for comparison
- `context` (str, optional): Additional context for evaluation
- `cohort` (str, optional): Cohort name for grouping evaluations

**Returns:**

- `Dict`: Evaluation results from the API

**Raises:**

- `requests.exceptions.ConnectionError`: If unable to connect to the API
- `requests.exceptions.Timeout`: If the request times out
- `requests.exceptions.RequestException`: For other request-related errors

## License

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.

## Support

- 📧 Email: info@jaas-ai.com
- 📖 Documentation: [https://jaas-ai.net ]

## Changelog

### v0.1.1 (2025-09-05)
- Initial release
- Basic evaluation functionality
- Support for multiple evaluation types
- Comprehensive error handling
toy-glacier-project 0.1.0
This is a toy CLI tool that allows a user to create a 'glacier' and then mimic accumulation & ablation by adding and subtracting mass from it via terminal commands.
Requires Python: >=3.12

# toy-glacier

[![codecov](https://codecov.io/github/e-marshall/toy-glacier/graph/badge.svg?token=FZ5CUEGL4J)](https://codecov.io/github/e-marshall/toy-glacier)

A toy CLI tool