semvec/pypi-packages huggingface dataset:
func-adl-uproot 2.2.0
Functional Analysis Description Language uproot backend for accessing flat ROOT ntuples
Requires Python: <3.14,>=3.8

# func_adl_uproot

[![codecov](https://codecov.io/gh/iris-hep/func_adl_uproot/branch/master/graph/badge.svg)](https://codecov.io/gh/iris-hep/func_adl_uproot)
[![PyPI version](https://badge.fury.io/py/func-adl-uproot.svg)](https://badge.fury.io/py/func-adl-uproot)

This package provides an [uproot](https://github.com/scikit-hep/uproot5)-based backend for [func_adl](https://github.com/iris-hep/func_adl).
alerthub 0.1.1
A Python package for managing email services across multiple platforms
Requires Python: >=3.6

# AlertHub

**AlertHub** is a Python package that provides an easy and unified interface to manage email services across multiple platforms. It allows you to send, monitor, delete, move, and forward emails using various popular email service providers, such as Gmail, Outlook, SendGrid, and SMTP.

## Features

- **Email Sending**: Easily send emails using Gmail, Outlook, SendGrid, and generic SMTP.
- **Email Monitoring**: Monitor incoming emails based on specific criteria.
- **Email Management**: Delete, move, or forward emails across supported platforms.
- **Unified Interface**: Interact with different email services using a consistent API.
- **Modular and Scalable**: Easily add support for more email service providers.

## Supported Email Services

- Gmail
- Outlook (Office 365)
- SendGrid
- SMTP (Generic)

## Installation

You can install AlertHub using pip:

```bash
pip install alerthub
```


## Changelog

You can view the complete list of changes in the [Changelog](./CHANGELOG.md).
auto-highlighter 0.0.1
automatically generate clips from VODs!
Requires Python: <4.0,>=3.11

<p align="center">
    <img align="center" src="simplified-icon.png">
</p>

<p align="center">
    automatically generate clips from VODs!
</p>

```commandline
pip install auto-highligher
```

----

- **you must have ffmpeg installed!**
- **python 3.11+**
- **free disk space of at least 2GB is recommended**

## usage
```shell
# analyzing a video and generating clips is easy!
auto-highlighter analyze -i "PATH/TO/VIDEO" 
# OR
python -m highlighter analyze -i "PATH/TO/VIDEO"
```
Use the `--help` option to see what else you can do! It is very customizable. 
## :O how does it work?!
The highlighter works by finding the loudest points of a given video. When a point 
of a video exceeds a given target dB (*default: 85.0dB*), it counts that as a 
clip and will compile that into a 30 seconds video. 

All generated videos will automatically be outputted to a directory called `./highlights`. 
This directory will be created in the location where you called the command. You can
also specifiy where the highlighter should output videos by using the `--output, -o` option.

You can also use another detection method with video! The way this method works is by
taking the brightest moments of a video and creating a clip out of that too. You can
also adjust the target luminance.
PyMicrosoftSQL 0.1.1
A simple Python SQL driver for Microsoft SQL Server
Requires Python: >=3.6

# PyMicrosoftSQL

A simple SQL Driver for Python.


## Pre-requisites

### **For Windows**
-   Install the latest version of **Python 3**.    

### **For MacOS** 
-   Install **Homebrew** & **OpenSSL** by running the following command:
    ```bash
    /bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"
    brew install openssl
    ```

### **For Linux**, 
-   Install pip and venv using the following commands
    ```bash
    sudo apt install python3-pip
    sudo apt install python3-venv
    ```

## Contact Us

- In case you need any support or help please reach out to us at pysqldriver@microsoft.com
ncdtecbook 0.0.1.6
NCD-TEC Book examples
Requires Python: >=3.8

# ncd-tec-book



[ncd-teck-book](https://suhelhammoud.github.io/ncd-tec-book)


### Example Package

### build using hatchling
```bash
python -m build
# or
hatchling build
```

### publish using twine
```bash
python -m build
twine upload dist/*
```

### publish to testpypi
```bash
python -m build
twine upload --repository testpypi dist/*
```

### installing pypi library from testpypi
```
pip install -i https://test.pypi.org/simple/ ncdtecbook
```


### binder
[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/suhelhammoud/ncd-tec-book/main)
codescribe 1.0.4
A package to convert GitHub repositories to formatted text.
Requires Python: >=3.6

# CodeScribe

CodeScribe is a Python Package that allows you to convert GitHub repositories into formatted text, including a directory structure and file contents.

## Installation

You can install the package using pip:

```
pip install codescribe
```

## Usage

Here's a simple example of how to use the package:

```python
from codescribe import codescribe

repo_url = 'https://github.com/username/repo'
access_token = 'your_github_access_token'  # optional

formatted_text = codescribe(repo_url, access_token)
print(formatted_text)
```

## Features

- Fetches repository contents from GitHub
- Generated a directory structure
- Formats file contents with proper seperation
- Supports private respositories with access token

## Contributing

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

## License

This project is licensed under the MIT License.