semvec/pypi-packages huggingface dataset:
neyro-library 0.2.0
Library for interacting with NeyroAPI
Requires Python: >=3.11

```markdown
# Neyro Library

![Python](https://img.shields.io/badge/python-3.11%2B-blue)
![License](https://img.shields.io/badge/license-Apache%202.0-blue)

Neyro Library is a powerful and easy-to-use Python library for interacting with various APIs, focusing on text processing.

## Features

- **Easy Integration**: Seamlessly integrate text processing APIs into your Python projects.
- **High Performance**: Optimized for speed and efficiency.
- **Extensible**: Customize and extend functionalities with ease.

## Installation

To install Neyro Library, use pip:

```bash
pip install neyro-library
```

## Usage

Here's a simple example to get you started:

```python
from neyro_library.modules.text import Text

config = {
    'apiKey': 'your_api_key',
    'captchaKey': 'your_captcha_key',
    'options': {
        'stream': False,
        'host': 'https://api.neyrogen.online'
    }
}

text_module = Text(config)

async def main():
    response = await text_module.alan({'text': 'Hello, world!'})
    print(response)

import asyncio
asyncio.run(main())
```

## License

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.

---

Happy coding!
humangemlib 1.0.3
HumanGEMlib is a Python library to perform genome-scale analysis on HumanGEM
Requires Python: >=3.8

HumanGEMlib is a Python library to perform genome-scale analysis on HumanGEM.

```bash
pip install humangemlib
```

Tested in Jupyter Notebook.

```bash
pip install jupyter
```

PyPI package contains HumanGEM XML file but GitHub repository does not (25 MB upload limit). It can be downloaded [here](https://github.com/SysBioChalmers/Human-GEM/blob/main/model/Human-GEM.xml).

See usage.ipynb on [GitHub](https://github.com/matrixdex/diabetessubtype/tree/humangemlib) for an example on diabetic metabolic dysregulation due to genetic knockouts.



Dependencies:

- cobra==0.29.0
- importlib_resources==6.4.0
- numpy==1.26.4
- pandas==2.2.2
- pyensembl==2.3.13

## License

This project is released under the Creative Commons Zero license.