GLPlot

High-performance, GPU-accelerated plotting library in Python, designed to handle millions of lines effortlessly. It provides an API similar to Matplotlib but runs natively over an OpenGL/GLFW backend, performing instanced rendering directly on the GPU.

Features

• Matplotlib API Compatibility: Familiar plot(x, y), show(), savefig().
• Phase Diagram Optimized (plot_lines): Explicitly supports passing millions of line parameters $(a, b)$ to calculate functions $y = ax + b$ securely bounded to bounds using shader math.
• Logarithmic Density Heaps: By displaying overlaps, density=True handles millions of parallel curves seamlessly for heatmaps.
• Dynamic Camera: Drag to pan, scroll to zoom with on-the-fly resolution subsampling.

Installation

You can install this locally:

pip install .

Requirements: numpy, glfw, PyOpenGL, scipy, matplotlib.

Usage

Traditional Polylines

import numpy as np
import glplot.pyplot as gplt

x = np.linspace(0, 10, 100)
y = np.sin(x)

gplt.figure("Sine Wave")
gplt.plot(x, y, color=(1.0, 0.0, 0.0, 1.0))
gplt.show()

Bulk Lines (Density Map)

import numpy as np
import glplot.pyplot as gplt

N = 1000000
a = np.random.randn(N)
b = np.random.randn(N)

gplt.figure("Density")
gplt.plot_lines(a, b, x_range=(-2, 2))
gplt.show(density=True)

Testing

Uses pytest covering 100% of the internal application logic without popping visible windows:

pytest