arbok-inspector 0.1.0

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arbok_inspector 🐍

arbok_inspector is an browser based inspection and visualization utility for QCoDeS measurement databases. It provides a lightweight GUI and CLI to browse runs and visualize data.

Features 🔎

The most commonly used used tool to visualize QCoDeS databases is plottr. Plottr is a great tool to get started, but struggles with increasing abounts of data.

This is how arbok_inspector streamlines your data inspection:

• Fast browsing of measurement runs and their metadata
• Written in tailwind using nicegui wrapper
• Browser based approach ensures cross system compatibily
• Selected runs are opened in a new tab and run on a separate thread
  • this avoids blocking the entire application when loading big datasets
• plotting backend is plotly which natively returns html
  • plotly plot customization is declarative and can therefore be tweaked in a simple json editor without implementing each customization by hand
• runs are only loaded on demand
  • startup time in plottr can be several minutes for large databases
  • SQL queries load only the given days upon database selection, only loads respective runs once day is selected

Installation 📲

From the project root (the folder containing pyproject.toml), install:

python -m pip install -e .

To be added to pypi (pip) soon!

Launch either from CLI:

arbok-inspector

... or alternatively run in editable/dev mode:

python -m arbok_inspector/dev.py

Project layout

• main.py — app entrypoint and startup logic
• state.py — application state & database handling
• pages/ — NiceGUI pages (database browser, run view, greeter, ...)
• widgets/ — reusable UI widgets (grid builders, selectors, dialogs)
• analysis/ — analysis and data-prep utilities
• classes/ — small domain objects used across the app
• helpers/ — formatting and utility helpers

Development & testing 🛠️

• Run tests:

pytest -q

• Use an editable install for local development to pick up changes immediately:

python -m pip install -e .

Contributing & help 🙌

Contributions, bug reports, and small feature requests are welcome. If you want to add a visualization or a new page, use pages/ and widgets/ for examples of how UI components are composed. When opening a PR, please keep changes focused and include a short description of how to exercise the change locally.

License

See the LICENSE file in the project root for license details.

Notes & tips

• For exact runtime dependencies check pyproject.toml — prefer using that manifest (and a virtual environment) for reproducible installs.
• If you want me to add a short walkthrough for common tasks (open a run, plot data, export CSV), tell me which task you'd like first and I can add a step-by-step example here. 📘