si-ui 1.0.1

Reusable dark-themed PyQt5 components for Scientific Instruments tools

si-ui

Reusable dark-themed PyQt5 components for Scientific Instruments desktop tools.

Built on a Catppuccin Mocha-inspired colour palette, si-ui gives every SI app a consistent, modern look out of the box.

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Features

Component	Description
apply_dark_theme(app)	Apply the Fusion dark palette to any QApplication
SI_DARK_STYLE	Comprehensive QSS stylesheet (buttons, inputs, tables, scrollbars, …)
COLORS	Dict of named Catppuccin Mocha hex values
SplashScreen	Animated GIF (or text-fallback) splash window
PlotCanvas	Dark-themed matplotlib FigureCanvas with scatter-point tracking
SIBaseApp	Three-panel QMainWindow base class with convenience helpers

Installation

pip install si-ui

Local / editable install

git clone https://github.com/<your-org>/si_ui.git
cd si_ui
pip install -e .

Quick Start

import sys
from PyQt5.QtWidgets import QApplication, QWidget, QLabel
from si_ui import apply_dark_theme, SI_DARK_STYLE, SIBaseApp

class MyTool(SIBaseApp):
    def create_left_panel(self) -> QWidget:
        panel, layout = self.make_panel()
        layout.addWidget(QLabel("Inputs go here"))
        layout.addStretch()
        return panel

    def create_center_panel(self) -> QWidget:
        panel, layout = self.make_panel()
        layout.addWidget(QLabel("Main content"))
        layout.addStretch()
        return panel

    def create_right_panel(self) -> QWidget:
        panel, layout = self.make_panel()
        layout.addWidget(QLabel("Results"))
        layout.addStretch()
        return panel

app = QApplication(sys.argv)
apply_dark_theme(app)
window = MyTool(title="My SI Tool", min_size=(1000, 550))
window.show()
sys.exit(app.exec_())

Splash Screen

from si_ui import SplashScreen

splash = SplashScreen(
    title="MY APP",
    subtitle="Loading…",
    gif_data=base64_gif_string,   # or None for text fallback
)
splash.finished.connect(show_main_window)
splash.show()

Plot Canvas

from si_ui import PlotCanvas

canvas = PlotCanvas(parent=self, width=6, height=4,
                    xlabel="Frequency (Hz)", ylabel="Impedance (Ω)")
canvas.axes.plot(x_data, y_data, color=canvas.line_color)
canvas.add_point(x, y)        # highlighted scatter point
canvas.draw()

Requirements

• Python ≥ 3.10
• PyQt5 ≥ 5.15
• matplotlib ≥ 3.5

License

MIT