semvec/pypi-packages huggingface dataset:
pipbrew-clearner 0.1.0
Interactive CLI tool to list and uninstall pip and Homebrew packages
Requires Python: >=3.6

# Pipbrew-cleaner
Only for macOS.

# Pip & Brew cleaner

**Pip & Brew cleaner** is an interactive command-line tool for listing and uninstalling pip and Homebrew packages. It provides progressive, colorized output of package information and lets you safely remove packages from your system.

## Features

- Lists pip packages and Homebrew formulas/casks.
- Displays package descriptions.
- Allows filtering by package name.
- Interactive selection for uninstallation.
- Logs operations to a file.
- Protects critical packages from being uninstalled.

## Requirements

- Python 3.x (tested on macOS)
- Homebrew (for managing Homebrew packages)

## Installation

Once published on PyPI, install with:

```bash
pip install pipbrew-cleaner
```

Or clone this repository and run:

```bash
python3 main.py
```

Usage

Run the tool from the command line:

```bash
python3 main.py
```

Follow the prompts to list, view, and uninstall packages.
Contributing

Contributions are welcome! See CONTRIBUTING.md for details.

## Author
Manuel DORNE - Korben  
[https://korben.info](https://korben.info)
pfund-plugins 0.0.1.dev1
lightweight plugins for pfund's ecosystem, e.g. LLM
Requires Python: <4.0,>=3.10

# pfund-plugins

lightweight plugins for pfund's ecosystem, e.g. LLM

## Installation

```bash
# install "llm" plugin
pip install pfund-plugins[llm]
```

## Supported Plugins

- `llm`: llm plugins using `litellm`
<!-- - `gpu`: gpu plugins -->
xid-xpl 0.0.34
Xidware Python Library
Requires Python: >=3.9.7

# **XPL**
Xidware Python Library

## **Specification**

### **Development Environment**
- **Operating System**: Windows
- **Python Version**: Python 3.10.11
- **Editor**: Visual Studio Code (VSCode)

### **Supported Environments**
- **Operating Systems**: Windows, Linux, macOS
- **Python Version**: Python 3.9.7+
- **Editor**: Any editor (VSCode, PyCharm, etc.)

## **Manual**

### **Installation**
To install `xpl`, use the following pip command:
```cmd
pip install xid-xpl
```

### **Tutorial**
```python
from xpl import BaseClass

class MyClass(BaseClass):
    pass
```
windeployqt 2025.2.5.0
deploy Qt app using MSYS2
Requires Python: >=3.10

# windeployqt

deploy qt executable using MSYS2 on Windows.

the executable must be built with scoop-installed msys2.

<https://scoop.sh/#/apps?q=msys2&id=0116518ecee4cce0b9c61085cccd6741c00f5bf8>

## related

install qt creator: <https://pypi.org/project/install-qt-creator/>
opus45 0.0.0
Tasks queue implementation in python.
Requires Python: >=3.8
Keywords: python, task, queue

# Opus

Opus is a Python package for efficient task execution, designed to handle parallel and distributed workloads seamlessly. Whether you need to execute tasks asynchronously, schedule workflows, or manage dependencies, Opus provides a simple yet powerful interface.

## Features

- **Asynchronous Task Execution**: Run tasks concurrently using Python's async capabilities.
- **Parallel Processing**: Utilize multi-threading and multi-processing for performance.
- **Simple API**: Easy-to-use interface for defining and executing tasks.

## Installation

You can install Opus using pip:

```sh
pip install opus
```

## Quick Start

### Define and Execute a Task

```python
from opus import Task

# Define a simple task
def my_task(name):
    print(f"Hello, {name}!")

# Create and execute the task
task = Task(my_task, args=("World",))
task.run()
```

### Using Async Tasks

```python
import asyncio
from opus import AsyncTask

async def async_task(name):
    await asyncio.sleep(1)
    print(f"Async Hello, {name}!")

# Run an async task
task = AsyncTask(async_task, args=("Async World",))
asyncio.run(task.run())
```

## Contributing

Contributions is welcomed! Please open an issue or submit a pull request on GitHub.

## License

Opus is licensed under the MIT License.

---

For more details, visit our [GitHub repository](https://github.com/kolodkin/opus).
isoviz 0.0.3
This package visualizes isoform structure and expression.
Requires Python: >=3.8

# isoformvisualizer

This package visualizes isoform structure and expression.

## Installation

```shell
$ pip install isoviz
```

## Example

```shell
$ cd test_sample
$ isoviz -gene AGMO -annot AGMO_annotated.gft -unannot AGMO_novel.gtf -exp expression.tsv.imk.comp.PASS.FILT.count.tx.count.CPM -det edgeRresult_for_isoformvisualizer.reordered.csv -meta metadata.tsv
```