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Datoviz turns scientific arrays into interactive 2D and 3D GPU visualizations. Start with Python and NumPy or build directly with C; both paths use the same scene, visual, and data contracts.

Install Datoviz Choose the current package or source-build path for your platform. Python quickstart Render 10,000 points from NumPy arrays in an interactive window. First C program Build and run the same scene through the native API. Core concepts Understand scenes, figures, panels, visuals, attributes, controllers, and views. Choose an integration layer Compare Python, C/C++, browser examples, and lower runtime layers. AI-assisted workflow Ask a coding assistant for current, verified Datoviz v0.4 code.

Recommended first path

1. Install Datoviz using the path available for the current release stage.
2. Python and NumPy: run the complete Quickstart.
3. C or C++: run the complete First C Program, then integrate it with CMake or datoviz-config.
4. Read Core concepts once you have seen the first window. It defines the object and array model shared by both languages.

If your target is a browser, Qt application, offscreen service, or lower runtime layer, use Choose your layer before writing code. If a coding assistant will write the first draft, use the AI-assisted workflow.

After the Quickstart

• Browse Examples and adapt the closest working visual or feature.
• Use How-To guides for focused tasks such as scenes, panels, interaction, annotations, capture, and export.
• Use Reference when you need exact status, supported attributes, or API details.