SciQLop was designed with students in mind: it is the easiest way to put real spacecraft data — MMS, Cluster, Solar Orbiter, Parker Solar Probe and many more — in front of a classroom, without spending the first hour of the session fighting installations.
Why it works in a classroom
- One installer per OS, no dependencies. Students download the Windows installer, macOS app, or Linux AppImage and are plotting real data minutes later.
- Isolated workspaces. Each workspace has its own Python environment managed by
uv — students can
pip installfreely without breaking anything, and a broken workspace is just deleted and recreated. - Instant gratification. Drag a product, drop it on a panel, and the data appears — zooming and scrolling trigger transparent downloads. Nothing kills curiosity faster than a 45-minute data-wrangling detour.
- A gentle ramp to real research. The same tool scales from “first plot ever” to virtual products, event catalogs, and publication-grade analysis in embedded Jupyter notebooks.
Built-in learning material
- Bundled tutorial notebooks — a progressive suite (GUI discovery, plotting, virtual products, magics, catalogs, DSP, annotation layers, …) browsable directly from the welcome page and copied into the student’s workspace on first use.
- Guided tours — in-app coach-mark tours (Getting Started, Catalogs, Settings). Getting Started runs by itself on first launch.
- Website tutorials — step-by-step guides with screenshots for the core workflows.
Zero-install options
For quick exercises where even an installer is too much, Speasy — SciQLop’s data-access library — runs in the browser: launch its examples on Binder or Google Colab, or use it from JupyterLite (Pyodide/WASM). Students can fetch and plot spacecraft data from any machine with a web browser.
Hands-on training: the Workshlop
We run an annual hands-on workshop — the Workshlop — mixing science talks and guided tutorials. The 3rd edition took place in Paris, Sept 15–17 2026.
Using SciQLop in your course?
We would love to hear about it — material, feedback, and feature requests for teaching use cases are all welcome. See the Contact page.