semvec/pypi-packages huggingface dataset:
slowrevpy 1.5.1
A basic python script to make slowed + reverbs.
Requires Python: >=3.9
Keywords: python, music, slowed reverb, Jrol123

# (Slowed + Reverb)

Create slowed and reverb songs with python.

Fork of a now [unsupported project](https://github.com/JustCoww/slowedreverb)

## **Installation**

```shell
pip install slowrevpy
```

## **Dependencies**

### FFmpeg
For the conversions to formats, other that `.wav`, you would want to install ffmpeg

#### Auto install

You can use autoinstaller from the module, which whill automatically install ffmpeg for your OS.
When you will start to transform your audio, the module will automatically check if the ffmpeg is installed, and if not, then it will try to autoinstall it.

#### Manial install

For windows:

```powershell
winget install ffmpeg
```

For Linux:

```shell
sudo apt-get install ffmpeg
```

## Usage

It's possible to use this package as a standalone module on files and folders.
Also you can import this package and use it as a module for your projects.

## Examples

### Standalone use

Use for converting files/folders from shell:

```shell
slowrevpy -f <file-format | default: mp3>  -s <speed-coefficient | default: 0.65> -o <output-filename | works only if you select a single file> <path to audiofile>
```

## Known problem

- Impossible to convert to `.flac` format
viphl 0.1.9
A library for trend analysis and indicators
Requires Python: >=3.7

# VipHL Library

A high-performance trading indicator library with source code protection.

## Installation

```bash
pip install viphl
```

## Usage

```python
from indicators.viphl.dto.viphl_interface import VipHL
import pandas as pd

# Load your price data
# Example data format: DataFrame with 'open', 'high', 'low', 'close', 'volume' columns
data = pd.read_csv('price_data.csv')

# Initialize VipHL
viphl = VipHL()

# Calculate indicators
result = viphl.calculate(data)

# Access results
print(result)
```

## Features

- High-performance implementation with Cython
- Protected source code
- Easy-to-use API
- Compatible with pandas DataFrames

## License

Proprietary - All rights reserved.