SciQLopPlots 0.19.1

SciQLop plot API based on QCustomPlot

SciQLopPlots

A high-performance scientific plotting library built on C++20/Qt6 with Python bindings via Shiboken6 (PySide6). Designed for the SciQLop data analysis platform but usable standalone.

Features

• Async resampling — render millions of points smoothly; data is downsampled in background threads via NeoQCP pipelines
• Multiple plot types — time series (line graphs), spectrograms (color maps), histograms, parametric curves
• Interactive — pan, zoom, data-driven callbacks, vertical/horizontal spans, tracers
• Multi-plot panels — synchronized axes, aligned margins, drag-and-drop from product trees
• Export — PDF (vector), PNG, JPG, BMP for both individual plots and panels
• Busy indicator — visual feedback when data is loading or being processed
• Cross-platform — Linux, macOS, Windows

Quick start

pip install SciQLopPlots

import numpy as np
from PySide6.QtWidgets import QApplication
from SciQLopPlots import SciQLopPlot

app = QApplication([])
plot = SciQLopPlot()

# Static data
x = np.arange(0, 1000, dtype=np.float64)
y = np.sin(x / 100) * np.cos(x / 10)
plot.plot(x, y, labels=["signal"])

# Data callback (called on pan/zoom with visible range)
def get_data(start, stop):
    x = np.arange(start, stop, dtype=np.float64)
    y = np.column_stack([np.sin(x / 100), np.cos(x / 100)])
    return x, y

plot.plot(get_data, labels=["sin", "cos"])

plot.show()
app.exec()

Reactive pipelines

Connect plot properties with the >> operator to build live data pipelines:

from SciQLopPlots import SciQLopPlot

plot = SciQLopPlot()
graph = plot.plot(lambda start, stop: ..., labels=["signal"])

# Axis range changes automatically feed a transform, which pushes data to the graph
plot.x_axis.on.range >> get_data >> graph.on.data

# Direct property forwarding (no transform)
span.on.range >> plot.x_axis.on.range

# Chain multiple steps
source.on.range >> transform >> target.on.data

The pipeline handles signal connection, call-style detection (positional args vs Event object), and automatic disconnection when objects are destroyed.

Run the gallery for a full feature showcase:

python tests/manual-tests/gallery.py

Building from source

Requires Qt6, PySide6 == 6.10.2, a C++20 compiler, and Meson.

# Development build
meson setup build --buildtype=debug
meson compile -C build

# Install as editable Python package
pip install -e . --no-build-isolation

Contributing

Fork the repository, make your changes and submit a pull request. Bug reports and feature requests are welcome.

Credits

Development is supported by CDPP. We acknowledge support from Plas@Par.

Thanks

• PySide6 — Qt bindings and Shiboken6 binding generator
• NeoQCP — fork of QCustomPlot with async pipelines, multi-dtype support, and QRhi rendering