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sciwidgets

tests

PySide6 widgets for scientific desktop apps: math labels rendered with LaTeX/mathtext, dialogs, and parameter inputs such as sliders, range sliders and validated number fields.

Sliders demo

Right-click menu, Set Value and Edit Configuration:

Slider interaction

The widgets were written for the Maxwell Bloch Solver and moved into this package so other apps can share them.

Features

  • Math labels: MathLabel renders LaTeX through Matplotlib and scales cleanly as SVG. It uses your system LaTeX when installed and falls back to Matplotlib's mathtext otherwise.
  • Sliders: integer, float, array, range and multi-variable sliders with LaTeX names and units, optional range labels, a default-value marker and a right-click menu (save/reset default, set value, ±inf, edit range and format).
  • Scientific number format: "{:.3S}" displays values as 1.23×10⁴.
  • Validated input: NumericLineEdit checks numbers and limits while typing and marks invalid input with a red frame.
  • Parameter widgets: line edit, combo box and toggle sharing one interface with the sliders (get_value / set_value, get_config / set_config) and name/value columns that line up across a panel.
  • Parameter panels: build groups, columns and tabs of parameter widgets from a JSON-style description, with templates and shared defaults, and read or restore all values as one dict.
  • Plot canvas: Matplotlib panels, twins, legends and markers from a description; data by curve id; a right-click style menu for curves, grids and spans whose changes save as plain data.
  • Dialogs: information, warning, error, question, rich-text and About dialogs.
  • Splash screen: your picture with the app name and version drawn on it, sharp on Retina, and start-up messages from anywhere in the app.

Components

Import Contents Docs
sciwidgets.params (sliders) FloatSlider, IntSlider, ArraySlider, FloatRangeSlider, IntRangeSlider, MultiVariableSlider, SliderFeature Sliders
sciwidgets.params (inputs) ParameterLineEdit, ParameterComboBox, ParameterToggle, NumericLineEdit Parameter widgets
sciwidgets.panel ParameterPage, ParameterTabs, widget_from_spec, register_type Parameter panels
sciwidgets.plot PlotCanvas, ScrollableFigure, CurveSelector, CurveCheckBox Plot canvas
sciwidgets.table DataFrameModel, DataFrameView (needs pip install "sciwidgets[table]") DataFrame tables
sciwidgets.labels MathLabel, set_latex_enabled Labels
sciwidgets.dialogs show_information, show_warning, show_critical, show_rich_information, show_about_dialog, ask_question Dialogs
sciwidgets.splash SplashScreen, splash_message Splash screen
sciwidgets.window MenuBarController, StatusBarController, center_on_screen Window helpers
sciwidgets.style, sciwidgets.formatting apply_sci_style, SciStyle, value_to_text, pretty_sci_text Style and formatting

Install

pip install sciwidgets

Requires Python 3.10+, PySide6 6.5+, Matplotlib and NumPy (installed automatically). A LaTeX installation is optional. The table widgets need pandas: pip install "sciwidgets[table]".

For development, from the repo root:

pip install -e ".[dev]"
pytest

The tests run without a window (Qt's offscreen platform) and take about a second.

Quick start

import sys

from PySide6.QtWidgets import QApplication, QVBoxLayout, QWidget

from sciwidgets.params import FloatRangeSlider, FloatSlider
from sciwidgets.style import apply_sci_style

app = QApplication(sys.argv)
apply_sci_style(app)  # required, see "Style" below

win = QWidget()
layout = QVBoxLayout(win)

t1 = FloatSlider(
    label="T_1", unit=r"\mathrm{ms}",
    min_val=0.1, max_val=10.0, init_val=1.0, val_fmt="{:.2f}",
    min_limit=0.0, min_limit_inclusive=False,
)
band = FloatRangeSlider(
    label=r"\nu", unit=r"\mathrm{GHz}",
    min_val=6.60, max_val=6.75, init_vals=(6.65, 6.70), val_fmt="{:.3f}",
)
layout.addWidget(t1)
layout.addWidget(band)

t1.valueChanged.connect(lambda v: print("T1 =", v))
band.valueChanged.connect(lambda v: print("band =", v["range"]))

win.show()
sys.exit(app.exec())

Labels and units are written in LaTeX math mode, without the $ signs.

Style

The widgets rely on SciStyle, a Fusion-based Qt style, for part of their behaviour: clicking a slider groove moves the handle there, disabled sliders get a flat groove, and invalid numeric input gets a red frame. Apply it once at startup:

from sciwidgets.style import apply_sci_style

apply_sci_style(app, my_app_style_sheet)  # your own rules are appended

Signals

valueChanged, defaultChanged and configChanged are emitted only for user actions (dragging, typing, the context menu, dialogs). Setting values from code with set_value, set_config and similar methods is silent, so loading saved parameters never triggers your handlers. Read the new state with get_value() / get_config() after setting it.

Demos

Each subpackage has a runnable demo:

python -m sciwidgets.labels
python -m sciwidgets.dialogs
python -m sciwidgets.params
python -m sciwidgets.params.sliders
python -m sciwidgets.window
python -m sciwidgets.panel
python -m sciwidgets.plot
python -m sciwidgets.splash

Versions

Releases are Git tags following semantic versioning. Pin an exact tag in your app's requirements, as in the install line above, and move to a newer tag when you are ready to test it.

License

MIT License. See LICENSE.

Author

Vahid Anari · GitHub · LinkedIn

Metadata

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