A Plotter for Experimental Data

Qimchi is a sleek, Plotly-based visualization tool built for scientists and engineers working with experimental (or really, any) data. It’s tightly integrated with the qcutils ecosystem and is optimized to handle zarr-formatted xarray datasets out of the box.
If you’re new to Zarr and Xarray, this guide is a great place to start.

Why Qimchi?

Qimchi is designed for rapid, interactive feedback — perfect for high-velocity research and iterative experiments.
Whether you’re working at the bench or at your keyboard, Qimchi helps you visualize, explore, and understand your data in real time.

Highlights

  • Modular by design: Easily add custom filters, plot types, and new data formats.

  • Built for scientists & engineers: Especially tuned for dynamic measurement workflows.

  • Data-agnostic: If it fits into an xarray.Dataset, Qimchi can plot it.

  • Lab-tested: Optimized for datasets from SQUAD Lab at Forschungszentrum Jülich, Germany.

Looking for similar tools? Check out plottr-inspectr or quantify.
Qimchi aims to offer a smoother, faster experience for on-the-fly visualization and exploratory analysis.

Get started

Qimchi is available as both a Python package and a ready-to-run Docker container (recommended for best compatibility).
The Docker image is tested across Windows, macOS, and Linux.

  • Full API reference available at .

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