semvec/pypi-packages huggingface dataset:
guispark 0.0.2
Crie interfaces gráficas Python em segundos! ⚡
Requires Python: >=3.8
Keywords: python, gui, pyqt, interface, desktop, app, quick, spark


# GuiSpark ⚡

**Crie interfaces gráficas Python em segundos!**

[![PyPI version](https://img.shields.io/pypi/v/guispark.svg)](https://pypi.org/project/guispark/)
[![Python Versions](https://img.shields.io/pypi/pyversions/guispark.svg)](https://pypi.org/project/guispark/)
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)

GuiSpark é uma biblioteca Python intuitiva e poderosa para criar aplicações GUI com PyQt6 de forma rápida e simples, sem complicação.

## ✨ Características

- 🚀 **Rápido**: Interface em menos de 5 linhas de código
- 🎨 **Bonito**: Temas pré-prontos e estilização CSS
- 🌐 **Moderno**: Suporte a conteúdo web embutido
- 📱 **Flexível**: 10+ tipos de widgets diferentes
- 💾 **Inteligente**: Sistema de arquivos integrado
- 🎯 **Simples**: API intuitiva em português

## ⚡ Instalação Rápida

```bash
pip install guispark
protein-turnover-website 0.8.0
Protein Turnover web pipeline
Requires Python: >=3.12

# protein_turnover_website

Website for protein turnover


## installation

```bash
pip install protein_turnover
pip install protein_turnover_website
# run the website (both frontend and back)
turnover web
```
Run just the website:

```bash
FLASK_APP=protein_turnover_website.wsgi flask run
# *OR*
gunicorn --workers=4 protein_turnover_website.wsgi
```

A posssibly superior entry point is to use [uv](https://docs.astral.sh/uv/). With `uv` installed you can install
`protein-turnover` (+plus website) with

```bash
uv tool install protein-turnover-website --with=gunicorn

# on Windows use this.... (pyarrow not yet supported for 3.14 -- as of Oct 2025)
uv tool install protein-turnover-website --python=3.13 --with=waitress

# ...
turnover web

# OR try it out with...

uv run --with=protein-turnover-website --with=gunicorn turnover web

```

You can then just run `turnover web`.

You can even just try out the website ....

```bash
# OR just
uv run --with=protein-turnover-website --with=gunicorn turnover web -- --access-logfile=-
```

### Configure turnover website

You can run this as simple:

In the instance folder create a file `protein_turnover_website.cfg`

```python
MOUNTPOINTS = [
    ("/path/to/msms/files", "nickname"),
    # only show mzML file here
    ("/another/path/to/msms/files", "nickname", r".*\.mzML$")

]
```
Run the website with `turnover web` and
go the the `configuration.html` page for more information.