semvec/pypi-packages huggingface dataset:
isimud 0.4
Package to get commonly used details of the network interface and access points you are using.
Requires Python: >=3.10
Keywords: isimud, sensors, wifi, networking

# Isimud
*Package to get commonly used details of the network interface and access points you are using.*

## Installation
### Install with uv:
```
uv add isimud
```

## Features

- Get loopback, ethernet and wifi interfaces.
- Get operstate, mac_address, recv and sent bytes of an interface.
- Get ESSID, signal percent and MAC address of an interface.

## Usage
```
In [3]: import isimud

In [4]: isimud.get_eth_interfaces()

Out[4]: ['enp9s0']
```
Eporner_API 1.9.7
A Python API for the Porn Site Eporner.com
Requires Python: >=3.9

<h1 align="center">EPorner API</h1> 

<div align="center">
    <a href="https://pepy.tech/project/Eporner-API"><img src="https://static.pepy.tech/badge/Eporner-API" alt="Downloads"></a>
    <a href="https://github.com/EchterAlsFake/EPorner_API/workflows/"><img src="https://github.com/EchterAlsFake/EPorner_API/workflows/CodeQL/badge.svg" alt="CodeQL Analysis"/></a>
    <a href="https://echteralsfake.me/ci/eporner_api/badge.svg"><img src="https://echteralsfake.me/ci/EPorner_API/badge.svg" alt="API Tests"/></a>
</div>

# Disclaimer
> [!IMPORTANT]
> This is an unofficial and unaffiliated project. Please read the full disclaimer before use:
> **[DISCLAIMER.md](https://github.com/EchterAlsFake/API_Docs/blob/master/Disclaimer.md)**
>
> By using this project you agree to comply with the target site’s rules, copyright/licensing requirements,
> and applicable laws. Do not use it to bypass access controls or scrape at disruptive rates.

# Features
- Fetch videos + metadata
- Download videos
- Fetch Pornstars
- Search for videos
- Fetch videos by category
- Built-in caching
- Easy interface
- Great type hinting
- Proxy support
- Very customizable

# Supported Platforms
This API has been tested and confirmed working on:

- Windows 11 (x64) 
- macOS Sequoia (x86_64)
- Linux (Arch) (x86_64)
- Android 16 (aarch64)

# Quickstart

### Have a look at the [Documentation](https://github.com/EchterAlsFake/API_Docs/blob/master/Porn_APIs/EPorner.md) for more details

## Installation

- Install using `pip`: 
```shell
pip install --upgrade Eporner-API
```

- Or from this repo to get the latest fixes/features:
```shell
pip install --upgrade git+https://github.com/EchterAlsFake/EPorner_API.git
```


```python
from eporner_api import Client
# Initialize a Client object
client = Client()

# Fetch a video
video_object = client.get_video("<insert_url_here>")  # Can also be a Video ID

# Search for videos
videos = client.search_videos(query="Your query here", ..sortings..) # See Documentation!
for video in videos:
    print(video.title)

# SEE DOCUMENTATION FOR MORE
```

> [!NOTE]
> EPorner API can also be used from the command line. Do: eporner_api -h to see the options

# Changelog
See [Changelog](https://github.com/EchterAlsFake/EPorner_API/blob/master/README/Changelog.md) for more details.

# Support (Donations)
I am developing all my projects entirely for free. I do that because I have fun and I don't want
to charge 30€ like other people do.

However, if you find my work useful, please consider donating something. A tiny amount such as 1€
means a lot to me.

Paypal: https://paypal.me/EchterAlsFake
<br>XMR (Monero): `42XwGZYbSxpMvhn9eeP4DwMwZV91tQgAm3UQr6Zwb2wzBf5HcuZCHrsVxa4aV2jhP4gLHsWWELxSoNjfnkt4rMfDDwXy9jR`

# Contribution
Do you see any issues or having some feature requests? Simply open an Issue or talk
in the discussions.

Pull requests are also welcome.

# License
Licensed under the LGPLv3 License
<br>Copyright (C) 2023–2026 Johannes Habel
gencedula 0.7
Python module to generate random and verify uruguay identification document.
Requires Python: >=3.10
Keywords: generate, uruguay, identification, document, verify, number, cedula

# gencedula
*Python module to generate random and verify
uruguay identification document.*

## Installation
### Install with uv
```
uv add gencedula
```

## Usage
```
In [1]: import gencedula

In [2]: for x in range(10):
	print(
		gencedula.generate_cedula(
			start=4_000_000,
			stop=5_000_000,
			step=200
			)
		)
46308006
47486005
49378000
41064007
40756005
45282003
47958004
44844000
41564007
49684003
```
django-grep 0.1.0
Core CTC website components, pipelines, and utilities for Wagtail/Django
Requires Python: >=3.9

# Django GREP

The complete core library for the CTC website (formerly wagtail-ctc), including:
- **Components**: Block framework for Wagtail.
- **Pipelines**: Enhanced model workflows and utilities.
- **Utils**: Shared core utilities.

## Installation

```bash
pip install django-grep
```
ai-voice-answers 0.1.3
A click-to-talk interface that turns voice questions into spoken AI answers.
Requires Python: >=3.8
Keywords: ai, llm, audio

# ai-voice-answers

A click-to-talk interface that turns voice questions into spoken AI answers.

![logo](https://raw.githubusercontent.com/trucomanx/AiVoiceAnswers/main/screenshot.png)

## 1. Installing

To install the package from [PyPI](https://pypi.org/project/ai_voice_answers/), follow the instructions below:


```bash
pip install --upgrade ai_voice_answers
```

Execute `which ai-voice-answers` to see where it was installed, probably in `/home/USERNAME/.local/bin/ai-voice-answers`.

### Using

To start, use the command below:

```bash
ai-voice-answers
```
## 2. More information

If you want more information go to [doc](https://github.com/trucomanx/AiVoiceAnswers/blob/main/doc) directory.

## 3. Buy me a coffee

If you find this tool useful and would like to support its development, you can buy me a coffee!  
Your donations help keep the project running and improve future updates.  

[☕ Buy me a coffee](https://ko-fi.com/trucomanx) 

## 4. License

This project is licensed under the GPL license. See the `LICENSE` file for more details.
graflow 0.1.2
Add your description here
Requires Python: >=3.10

<a href="https://graflow.ai"><img width="500" height="200" alt="banner" src="https://github.com/user-attachments/assets/932a3403-7d2c-4e9d-a900-8781f97fb14b" /></a>

# Graflow

Graflow is the orchestration engine for production-grade agentic workflows, designed to be reliable, explainable, and scalable.

[![Documentation Status](https://img.shields.io/:docs-latest-green.svg)](https://graflow.ai/)
[![License](https://img.shields.io/badge/License-Apache_2.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)
[![Python](https://img.shields.io/badge/python-3.10+-blue.svg)](https://www.python.org/downloads/)
[![PyPI](https://img.shields.io/pypi/v/graflow.svg)](https://pypi.org/project/graflow/)
[![CI status](https://github.com/GraflowAI/graflow/actions/workflows/ci.yml/badge.svg)](https://github.com/GraflowAI/graflow/actions)
[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/GraflowAI/graflow-examples/blob/main/examples/notebooks/simple_etl.ipynb)


<a href="https://x.com/GraflowAI"><img src="https://img.shields.io/twitter/follow/GraflowAI?logo=X&color=%20%23f5f5f5" alt="follow on X(Twitter)"></a>

<a href="https://www.youtube.com/watch?v=OkJlpmdCCAg"><img width="765" height="428" alt="image" src="https://github.com/user-attachments/assets/a4c287d2-805f-45ac-9d09-2bb9b1f88ee4" /></a>

## Quick Start

Try Graflow instantly in your browser:

[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/GraflowAI/graflow-examples/blob/main/examples/notebooks/simple_etl.ipynb)

Or install locally:

```bash
pip install graflow
```

## Documentation

- [Examples](./examples/) - Production-ready examples organized by complexity
- [API Documentation](./docs/) - Detailed API reference

## License

This project is licensed under the Apache License 2.0 - see the [LICENSE](./LICENSE) file for details.
vtclear 1.0.2
Python ANSI VT100 implementation of Erase Screen.
Requires Python: >=3.10
Keywords: CLEAR, VT100, ANSI

# vtclear
Python ANSI VT100 implementation of Erase Screen

## installation
```
uv add vtclear
```

## usage
```
from vtclear import clear_screen
clear_screen()
```