semvec/pypi-packages huggingface dataset:
diffuse 0.3.1
Python Diffuse
License: MIT
Requires Python: <4.0,>=3.8
Keywords: python3, concurrency, asyncio, threading, multiprocessing

# Python Diffuse

[![Build & Test](https://github.com/asandeep/diffuse/actions/workflows/build.yml/badge.svg)](https://github.com/asandeep/diffuse/actions/workflows/build.yml)
[![codecov](https://codecov.io/gh/asandeep/diffuse/graph/badge.svg?token=HOVZU54T7V)](https://codecov.io/gh/asandeep/diffuse)
[![license](https://img.shields.io/pypi/l/diffuse.svg)](https://github.com/asandeep/diffuse/blob/master/LICENSE)
[![Python Versions](https://img.shields.io/pypi/pyversions/diffuse.svg)](https://pypi.org/project/diffuse/)
[![Package Version](https://img.shields.io/pypi/v/diffuse.svg)](https://pypi.org/project/diffuse/)
[![Black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)

Diffuse is yet another python library to run concurrent code.

The library builds upon standard library's `concurrent.futures` module and provides a consistent interface to run your code in separate Threads, Processes or ASyncIO coroutines.
hashtagger 0.2.1
A hashtag generator using TensorFlow and NLTK
License: MIT
Keywords: tagger tensorflow nltk

HASHTAGGER
===========

To generate tags for images using TensorFlow and OpenCV.

Using hashtagger, all of this can be done in just a few lines of code.

Installation
------------

You can install hashtagger using pip::

    pip install hashtagger

Usage
-----

Here's an example of how to use hashtagger to generate tags for images::

    from hashtagger import Hashtagger

    # Create an instance of YourLibrary
    your_library = Hashtagger()

    # Specify the path to the image you want to process
    image_path = ""  # Replace with the path to your image

    try:
        # Use the recognize_objects method to recognize objects in the image
        decoded_predictions = your_library.recognize_objects(image_path)

        # Use the generate_tags method to generate tags for the recognized objects
        tags = your_library.generate_tags(decoded_predictions)

        print("Recognized objects and tags:")
        for tag in tags:
            print(tag)

    except Exception as e:
        print(f"An error occurred: {e}")

License
-------

This project is licensed under the MIT License - see the LICENSE.txt file for details.


Changelog
==========

0.1.1 (2023-10-09)
-------------------
- Added Initial release of the hashtagger library.

0.1.4 (2024-03-07)
-------------------
- Added more hashtags to hashtagger library.

0.1.5 (2024-07-05)
-------------------
- Added more hashtags to hashtagger library.

0.2.0 (2024-07-05)
-------------------
- Added more hashtags to hashtagger library.

0.2.1 (2024-07-05)
-------------------
- Removed all nltk and download errors
nsjprdev 0.1.1
Library of @V1HyperBot
License: MIT
Requires Python: >=3.10

<h1 align="center">Welcome to Nor Sodikin GitHub Profile! 🌟</h1>
<p align="center">
  <img src="https://komarev.com/ghpvc/?username=V1HyperBot" alt="Profile Views" />
  <img src="https://user-images.githubusercontent.com/73097560/115834477-dbab4500-a447-11eb-908a-139a6edaec5c.gif" alt="Glow Effect" />
</p>

<h2 align="center">📞 Contact Me</h2>
<p align="center">
  <a href="https://wa.me/+6289525658633">
    <img src="https://img.shields.io/badge/WhatsApp-Chat-green?logo=whatsapp&style=flat-square" alt="WhatsApp" />
  </a>
  <a href="https://t.me/NorSodikin">
    <img src="https://img.shields.io/badge/Telegram-Chat-blue?logo=telegram&style=flat-square" alt="Telegram" />
  </a>
</p>
<p align="center">
  <img src="https://user-images.githubusercontent.com/73097560/115834477-dbab4500-a447-11eb-908a-139a6edaec5c.gif" alt="Glow Effect" />
</p>

<h2 align="center">📊 GitHub Stats</h2>
<p align="center">
  <img src="https://github-readme-stats.vercel.app/api?username=V1HyperBot&show_icons=true&theme=radical" alt="GitHub Stats" />
</p>
<p align="center">
  <img src="https://user-images.githubusercontent.com/73097560/115834477-dbab4500-a447-11eb-908a-139a6edaec5c.gif" alt="Glow Effect" />
</p>

<h2 align="center">🌍 Top Languages</h2>
<p align="center">
  <img src="https://github-readme-stats.vercel.app/api/top-langs/?username=V1HyperBot&layout=compact&theme=radical" alt="Top Languages" />
</p>
<p align="center">
  <img src="https://user-images.githubusercontent.com/73097560/115834477-dbab4500-a447-11eb-908a-139a6edaec5c.gif" alt="Glow Effect" />
</p>

<p align="center">
  Dibuat dengan ❤️ oleh NorSodikin
</p>
ssl-daily-check 0.1.1
Daily SSL certificate monitoring and checking tool
License: MIT
Requires Python: <4.0,>=3.8
Keywords: ssl, certificate, daily, monitoring, security

# SSL Daily Check

SSL Daily Check is a Python-based tool that monitors SSL certificates for specified domains and sends notifications when certificates are nearing expiration.

## Features

- Checks SSL certificates for multiple domains
- Stores certificate information in a SQLite database
- Sends notifications via WeChat Work (企业微信) when certificates are close to expiration
- Configurable through simple text files
- Designed to run as a cron job on Linux systems

## Requirements

- Python 3.8+
- Poetry for dependency management

## Installation

1. Clone the repository:
   ```
   git clone https://github.com/rtmax0/ssl-daily-check.git
   cd ssl-checker
   ```

2. Install dependencies using Poetry:
   ```
   poetry install
   ```

## Configuration

1. Create a `~/.ssl-daily-check/domains.txt` file with the domains you want to monitor:
   ```
   example.com:Example Website
   yourdomain.com:Your Website
   ```

2. Create a `~/.ssl-daily-check/notify-rule.json` file with your WeChat Work webhook URL:
   ```json
   [
     {
       "id": "notify1",
       "type": "qyweixin",
       "url": "https://qyapi.weixin.qq.com/cgi-bin/webhook/send?key=your-key-here"
     }
   ]
   ```

## Usage

Run the SSL Daily Check manually:

```
poetry run ssl-checker
```

To set up automatic checking, add a cron job:

```
0 0 * * * /path/to/your/poetry/environment/bin/ssl-checker
```

This will run the SSL Checker daily at midnight.

## Development

This project uses:
- Poetry for dependency management
- Black for code formatting
- Flake8 for linting
- Pytest for testing

To set up the development environment:

1. Install development dependencies:
   ```
   poetry install --dev
   ```

2. Run tests:
   ```
   poetry run pytest
   ```

3. Format code:
   ```
   poetry run black .
   ```

4. Run linter:
   ```
   poetry run flake8
   ```

## Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

## License

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.