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 (coming in v0.13) — in-app coach-mark tours (Getting Started, Catalogs, Settings) that auto-start 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 takes place Sept 15–17, 2026 in Paris, and registration is open!
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.