pygfx/rendercanvas

One canvas API, multiple backends

Python

35

316 commits

updated Aug 23, 2026

See the code

README

CI Documentation Status PyPI version EffVer Versioning Zenodo badge


rendercanvas

One canvas API, multiple backends 🚀

This project is part of pygfx.org

Introduction

See how the two windows above look the same? That's the idea; they also look the same to the code that renders to them. Yet, the GUI systems are very different (Qt vs glfw in this case). Now that's a powerful abstraction!

Purpose

Providing a generic API for:

  • managing a canvas window (BaseRenderCanvas).
  • presenting rendered results with wgpu (WgpuContext).
  • presenting rendered results as a bitmap (BitmapContext).
  • working with events that have standardized behavior.

The following backends are currently available:

  • auto - automatically selects an appropriate backend.
  • glfw - a native desktop window.
  • offscreen - for offscreen rendering.
  • terminal - to render in the terminal (e.g. over SSH).
  • qt (pyside6 / pyside2 / pyqt6 / pyqt5) - to embed a render canvas in a qt GUI.
  • wx - to embed a render canvas in a wx GUI.
  • anywidget - for notebooks like Jupyter, VSCode, and Marimo.
  • jupyter - previous backend for notebooks that uses jupyter_rfb.
  • http - for server side rendering, display in a browser connected via the internet.
  • pyodide - to run in the browser with Pyodide or PyScript.

In addition to the GUI libraries mentioned above, the following event loops are supported:

  • asyncio
  • trio
  • raw

Installation

pip install rendercanvas

To have at least one backend, we recommend:

pip install rendercanvas glfw

Usage

Also see the online documentation and the examples.

A minimal example that renders noise:

import numpy as np
from rendercanvas.auto import RenderCanvas, loop

canvas = RenderCanvas(update_mode="continuous")
context = canvas.get_bitmap_context()


@canvas.request_draw
def animate():
    w, h = canvas.get_logical_size()
    bitmap = np.random.uniform(0, 255, (h, w)).astype(np.uint8)
    context.set_bitmap(bitmap)


loop.run()

Run wgpu visualizations:

from rendercanvas.auto import RenderCanvas, loop
from rendercanvas.utils.cube import setup_drawing_sync


canvas = RenderCanvas(
    title="The wgpu cube example on $backend", update_mode="continuous"
)
draw_frame = setup_drawing_sync(canvas)
canvas.request_draw(draw_frame)

loop.run()

Embed in a Qt application:

from PySide6 import QtWidgets
from rendercanvas.qt import QRenderWidget


class Main(QtWidgets.QWidget):
    def __init__(self):
        super().__init__()

        splitter = QtWidgets.QSplitter()
        self.canvas = QRenderWidget(splitter)
        ...


app = QtWidgets.QApplication([])
main = Main()
app.exec()

Async or not async

We support both; a render canvas can be used in a fully async setting using e.g. Asyncio or Trio, or in an event-driven framework like Qt. If you like callbacks, loop.call_later() always works. If you like async, use loop.add_task(). See the docs on async for details.

License

This code is distributed under the 2-clause BSD license.

Contributing

See the contribution guide.

Development install

  • Clone the repo.
  • Install rendercanvas and developer deps using pip install -e .[dev].

Quick tips

  • Use ruff format to apply autoformatting.
  • Use ruff check to check for linting errors.
  • Use pytest tests to run the tests.
  • Use pytest examples to run a subset of the examples.
  • Use pytest tests/test_backend_xx.py to run backend-specific tests, e.g. for glfw, qt, wx.

Code of Conduct

This repository follows the PyGfx Code of Conduct

canvas
glfw
graphics
jupyter
qt
wgpu
wx

pygfx/rendercanvas

One canvas API, multiple backends

Python

35

316 commits

updated Aug 23, 2026

See the code

README

CI Documentation Status PyPI version EffVer Versioning Zenodo badge


rendercanvas

One canvas API, multiple backends 🚀

This project is part of pygfx.org

Introduction

See how the two windows above look the same? That's the idea; they also look the same to the code that renders to them. Yet, the GUI systems are very different (Qt vs glfw in this case). Now that's a powerful abstraction!

Purpose

Providing a generic API for:

  • managing a canvas window (BaseRenderCanvas).
  • presenting rendered results with wgpu (WgpuContext).
  • presenting rendered results as a bitmap (BitmapContext).
  • working with events that have standardized behavior.

The following backends are currently available:

  • auto - automatically selects an appropriate backend.
  • glfw - a native desktop window.
  • offscreen - for offscreen rendering.
  • terminal - to render in the terminal (e.g. over SSH).
  • qt (pyside6 / pyside2 / pyqt6 / pyqt5) - to embed a render canvas in a qt GUI.
  • wx - to embed a render canvas in a wx GUI.
  • anywidget - for notebooks like Jupyter, VSCode, and Marimo.
  • jupyter - previous backend for notebooks that uses jupyter_rfb.
  • http - for server side rendering, display in a browser connected via the internet.
  • pyodide - to run in the browser with Pyodide or PyScript.

In addition to the GUI libraries mentioned above, the following event loops are supported:

  • asyncio
  • trio
  • raw

Installation

pip install rendercanvas

To have at least one backend, we recommend:

pip install rendercanvas glfw

Usage

Also see the online documentation and the examples.

A minimal example that renders noise:

import numpy as np
from rendercanvas.auto import RenderCanvas, loop

canvas = RenderCanvas(update_mode="continuous")
context = canvas.get_bitmap_context()


@canvas.request_draw
def animate():
    w, h = canvas.get_logical_size()
    bitmap = np.random.uniform(0, 255, (h, w)).astype(np.uint8)
    context.set_bitmap(bitmap)


loop.run()

Run wgpu visualizations:

from rendercanvas.auto import RenderCanvas, loop
from rendercanvas.utils.cube import setup_drawing_sync


canvas = RenderCanvas(
    title="The wgpu cube example on $backend", update_mode="continuous"
)
draw_frame = setup_drawing_sync(canvas)
canvas.request_draw(draw_frame)

loop.run()

Embed in a Qt application:

from PySide6 import QtWidgets
from rendercanvas.qt import QRenderWidget


class Main(QtWidgets.QWidget):
    def __init__(self):
        super().__init__()

        splitter = QtWidgets.QSplitter()
        self.canvas = QRenderWidget(splitter)
        ...


app = QtWidgets.QApplication([])
main = Main()
app.exec()

Async or not async

We support both; a render canvas can be used in a fully async setting using e.g. Asyncio or Trio, or in an event-driven framework like Qt. If you like callbacks, loop.call_later() always works. If you like async, use loop.add_task(). See the docs on async for details.

License

This code is distributed under the 2-clause BSD license.

Contributing

See the contribution guide.

Development install

  • Clone the repo.
  • Install rendercanvas and developer deps using pip install -e .[dev].

Quick tips

  • Use ruff format to apply autoformatting.
  • Use ruff check to check for linting errors.
  • Use pytest tests to run the tests.
  • Use pytest examples to run a subset of the examples.
  • Use pytest tests/test_backend_xx.py to run backend-specific tests, e.g. for glfw, qt, wx.

Code of Conduct

This repository follows the PyGfx Code of Conduct

canvas
glfw
graphics
jupyter
qt
wgpu
wx

Project health

Latest release

2.7.2 · Jul 21, 2026

Releases this year

14

Significant stargazers

Carol Willing

1,565 followers · starred Mar 2025

Alexis Placet

15 followers · starred Jul 2026

Trevor Wilson

5 followers · starred Mar 2025