semvec/pypi-packages huggingface dataset:
wesphyr 1.0.5
Wesphyr - Global CLI Chat App
License: MIT
Requires Python: >=3.8

# Wesphyr Messenger

A retro-style command-line messaging application that connects to global messaging servers.

## 🚀 Quick Install

```bash
pip install wesphyr
```

## 🎯 Usage

### Option 1: Use Wesphyr's official server (Default)
```bash
# No setup needed - connects to Wesphyr's server automatically
wesphyr
```

### Option 2: Connect to custom server
```bash
# Connect to any Wesphyr-compatible server
export API_URL="https://your-custom-server.com"
wesphyr
```

## ✨ Features

- 🔐 User registration and login
- 👥 Friend system with requests
- 💬 Private messaging between friends
- 📱 Cross-platform (Windows, Mac, Linux)
- 🌍 Global server support
- 🗂️ Message history
- ✅ Read receipts

## 📋 Requirements

- Python 3.8+
- Internet connection
- Server URL (Wesphyr server: https://www.fly.dev - automatically used if not specified)

## 🎮 How to Use

1. **Register**: Create account with username/password
2. **Get your ID**: You'll receive a 6-digit user ID
3. **Find friends**: Share your ID with friends
4. **Send requests**: Send friend requests using their IDs
5. **Start chatting**: Message your accepted friends!

## 🌐 Server Setup

To run your own server:

```bash
pip install wesphyr-server
wesphyr-server
```

## 📄 License

MIT License - see LICENSE file for details.

## 🤝 Contributing

Contributions welcome! Please feel free to submit pull requests.

## 📞 Support

If you encounter issues, please check:
1. Server is running and accessible
2. API_URL environment variable is set correctly
3. You have an internet connection

## 🌟 About Wesphyr

Wesphyr is a global messaging platform that brings retro CLI chat to the modern world. Connect with friends worldwide through secure, private messaging.
raisehd 0.2.1
RAiSE: simulation-based analytical model of AGN jets and lobes.
License: MIT
Requires Python: >=3.8
Keywords: AGN, jets, lobes, simulation

# RAiSE: simulation-based analytical model of AGN jets and lobes
[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.5875155.svg)](https://doi.org/10.5281/zenodo.5875155)

_Radio AGN in Semi-Analytic Environments_ (RAiSE) model for the expansion and evolution of the jets and lobes emanating from extraglactic supermassive black holes. The RAiSE _HD_ (hydrodynamics) version of this model adapts Lagrangian particles from a hydrodynamical simulation to the dynamics from the analytical theory, yielding a physically-based magnetic field structure on both large and local scales. This code release enables the user to generate radio-frequency and X-ray wavelength surface brigtness images of Fanaroff-Riley Type-II radio AGNs across their evolutionary history, including for the jet, active lobe and remnant lobe. Parallised code can be run to generate a catalogue of mock radio AGNs to, for example: run parameter inversions to measure the energetics of observed objects; or produce high-resolution animations for data visualisations. The code is written in Python 2/3 and has detailed documentation and worked examples available on GitHub (https://github.com/rossjturner/RAiSEHD).

## Installation

This package can either be installed using _pip_ or from a .zip file downloaded from the GitHub repository using the standard Python package _distutils_.

### Install using pip
The following command will install the latest version of the RAiSE HD code from the Python Packaging Index (PyPI):

```bash
pip install RAiSEHD
```

### Install from GitHub repository

The package can be downloaded from the GitHub repository at https://github.com/rossjturner/RAiSEHD, or cloned with _git_ using:

```bash
git clone https://github.com/rossjturner/RAiSEHD.git
```

The package is installed by running the following command as an administrative user:

```bash
python setup.py install
```

## Documentation and Examples

Full documentation of the functions included in the RAiSE HD package, in addition to worked examples, is included in [RAiSEHD_user.pdf](https://github.com/rossjturner/RAiSEHD/blob/main/RAiSEHD_user.pdf) on the GitHub repository. The worked examples are additionally included in the following Jupyter notebook: [RAiSEHD_example.ipynb](https://github.com/rossjturner/RAiSEHD/blob/main/RAiSEHD_example.ipynb).

## Contact

Ross Turner <<turner.rj@icloud.com>>
apieasy 0.1.0
A minimal REST API framework using simple Python function decorators.
License: MIT
Requires Python: >=3.8

# apieasy

A tiny, simple REST API framework for Python using decorators.  
No Flask. No FastAPI.  
Define endpoints using clean, minimal code.

## Example

from apieasy import get, post, run

@get("/hello")
def hello():
    return {"message": "Hello World"}

run()

## Installation

pip install apieasy

## Usage

apieasy run

## Features
- Define routes with decorators
- Auto JSON response
- Minimal routing engine