Scripton

for t in range(100):
    plot(
        x=x,
        y=np.cos(x + t / 10)
    )
    time.sleep(0.01)

Visualize in realtime directly from your Python scripts — no notebooks, servers, or browsers required.

Visualizations are displayed in a dedicated tab right within the IDE.

Scripton includes built-in plotting toolkits that expose the capabilities of Plotly and Observable Plot directly to Python.

No installation is necessary — these libraries are automatically available when executing in Scripton.

from scripton.lyra import plot
import numpy as np

# Evenly spaced values between 0 and 2π
x = np.linspace(0, 2 * np.pi)

# Plot sin(x)
plot({'x': x, 'y': np.sin(x)})

For more details, check out the Scripton plotting documentation for Lyra (toolkit for Plotly) and Orion (toolkit for Observable Plot).

Scripton's architecture combines high-performance interprocess communication for low latency and high throughput on the backend, while leveraging GPU-accelerated rendering to deliver real-time visualizations.

Visualizing matrices (2D NumPy arrays, PyTorch tensors, …) is as simple as this —

import numpy as np
from scripton import show

x = np.arange(100)
toeplitz = np.abs(x[:, None] - x)

# Show a colormapped version of the matrix
show(toeplitz)

Learn more about visualizing matrices.

The built-in Scripton canvas library provides a fast and powerful 2D raster graphics API.

from scripton.canvas import Canvas

canvas = Canvas(width=290, height=200)

for i in range(10):
    canvas.draw_circle(
        x=100 + 5 * i,
        y=100,
        radius=10 + 10 * i,
        fill='#3D79FF20'
    )

The outputs appear directly in the IDE in realtime in a dedicated tab.

Learn more about Scripton's canvas graphics API.

Easily add interactivity to your scripts using Scripton's UI toolkit.

from scripton import ui

...

def render(state):
    # Process using current state
    depth, image = mask_using_depth(
        threshold=state.threshold
    )

    # Display results
    show(depth, title='Depth', key='depth')
    show(image, title='Masked Output', key='image')

    def reset():
        state.threshold = 20

    return ui.HStack(
        ui.Button(
            label='Reset',
            on_click=reset
        ),
        ui.Slider(
            label='Depth Threshold',
            value=state.bind.threshold,
            range=(0, 20)
        )
    )

Learn more about the UI toolkit.

Scripton includes a unique Python REPL that's designed to be a natural extension of your coding environment.

The REPL offers a full-featured editing experience with features like auto-completion, multi-line editing, and multiple cursor support. Outputs can be collapsed to save space, and Python exceptions are syntax-highlighted with clickable navigation to source code. Rich inline outputs are displayed for objects like Pandas data frames and PIL images.

Learn more about the REPL's capabilities.

Debugging in Scripton is simple — set a breakpoint and run. No special configurations necessary.

Learn more about debugging in Scripton.

Scripton's designed and engineered to serve a wide range of needs, from research and industrial applications to creative explorations.