Array Visualizer

Transform your multidimensional arrays and tensors into interactive 3D visualizations

Paste Your Data

Supports JSON and CSV formats

Paste your data and see it rendered in 3D immediately. This tool requires no setup or installation to visualize complex matrix structures.

Data privacy is our priority. All matrix processing happens in your browser, meaning your sensitive datasets never leave your local device.

Rotate, zoom, and explore your data from every angle. Use smooth 3D navigation to inspect specific elements within your multidimensional array.

Analyze statistical distributions and perform real-time queries. Easily identify patterns or outliers within your volumetric data grids.

Built with Three.js for hardware-accelerated WebGL rendering. Experience fluid performance even when visualizing large data structures.

This is an open source project designed for the community. It is free to use for personal, educational, and professional development tasks.

Debug nested JSON objects and multidimensional data structures. Use the 3D grid to understand spatial relationships and algorithm logic.

Simplify learning of computer science concepts like matrices and tensors. Use interactive visuals to teach linear algebra and data organization.

Inspect NumPy arrays, PyTorch tensors, and TensorFlow models. Gain better insights by viewing volumetric data in a spatial 3D context.

Visualize scientific simulation results and coordinate grids. This tool helps in identifying patterns within large experimental datasets.

Paste your JSON array or CSV data into the input field. Our parser automatically detects the dimensions and numerical ranges of your input.

Select the visualize button to trigger the Three.js rendering engine, which maps your array indices to X, Y, and Z coordinates in a 3D scene.

Navigate the 3D space using your mouse or touch controls. Use the distribution graph and query filters to isolate specific data values.