Dear ImGui Bundle

“Dear ImGui Bundle: easily create applications in Python and C++. Batteries included! With very few lines of code, you can build a responsive GUI, and deploy it to desktop or directly in the browser.”

Dear ImGui Bundle is a collection of libraries around Dear ImGui, for both C++ and Python.

What for?

• Real-time tools: live data, instruments, simulations, scientific viewers, dashboards.
• Science, education and teaching: interactive lessons that open from a link, on a computer or a phone. For example, Grokking, a narrated lesson where a small neural network memorizes, then suddenly generalizes; or the logistic map, a very simple equation that leads to chaos.
• Playful sketches with sliders: creative coding and math toys, shared with friends through a link.

The same code everywhere: on the desktop, in the browser and on phones. In the browser, no server is needed: a static page is enough.

Made for AI assistants: given llms.txt, an AI can write an app with the bundle, run it, and check it with screenshots and the test engine, even in a chat's sandbox.

In the wild: projects that use the bundle include Newton and Isaac Lab (robotics simulation), Genesis (physics for robotics, 30k stars), the Gaussian splatting viewer of Inria's GRAPHDECO lab, splatviz, Meta's Nymeria, and fastplotlib. More on the home page.

Install: pip install imgui-bundle, then from imgui_bundle import imgui.

Not to be confused with pyimgui (pip install imgui, then import imgui): another Python binding of Dear ImGui, with another API.

Try it in the browser, no install needed: each picture opens its demo in the Playground.

Key features

• Cross‑platform: Windows, macOS, Linux, iOS, Android, and WebAssembly.
• C++ and Python: APIs with very similar structure.
• Integrated ecosystem:
  • Dear ImGui (core widgets)
  • ImPlot / ImPlot3D (2D and 3D plotting)
  • ImmVision (image inspection)
  • ImAnim (animations), and your Matplotlib figures inside the GUI (imgui_fig)
  • imgui-node-editor, ImGuizmo, file dialogs, knobs, spinners, toggles, command palette, a terminal, and more.
• Optional high‑level runners:
  • Hello ImGui: window, backend, docking, and assets management.
  • ImmApp: easy activation of add‑ons (ImPlot, Markdown, etc.).
• Web‑ready:
  • C++ via Emscripten
  • Python via Pyodide (online playground and deployable HTML templates)
  • Touch screens: on a phone, a swipe scrolls, a pinch scales the app, and a keyboard button appears next to a text field.
• Jupyter: the notebook stays usable while your app runs (immapp.nb.start()).
• Themes: 17 themes, tweaked live.
• Power save: an idle app lowers its frame rate.
• Tests and automation: ImGui Test Engine drives your GUI from a script, for tests, demos or screenshots (it has its own license).

“Think of it as a toolbox where all the pieces are pre‑wired to play well together: plotting, Markdown, node editors, image inspection, and more, ready to drop into your app.”

The project: more than 40 releases since 2022, each new Dear ImGui version followed within days. One maintainer, with contributions from about twenty people. The CI covers 10 platforms and backends.

Links:

• Documentation site: Full documentation for Dear ImGui Bundle.
• Dear ImGui Bundle Explorer: interactive reference manual - browse demos, see the code, try the widgets. All 23 libraries demonstrated with browsable C++ and Python source.
• Online Python Playground: live Python sandbox with ready-to-run demos - edit code, see results instantly. No installation needed.
• Guide for AI assistants: llms.txt, to write apps with the bundle, and to run and check them
• FAQ: answers to common questions
• Discord: join the community for questions, showcase, and discussion
• GitHub: source code, issues, discussions