Documentation
A complete reference for how Data Sensors actually behaves - not just what each button is called, but what happens underneath it: when a calculated signal recomputes, what an auto-tune search actually searches, and what does or doesn't get saved to your session file.
Getting started
Opening a measurement file, importing a CAN trace, and building your first strip.
System Requirements
Minimum and recommended RAM, disk space, and CPU, and why Model Competition needs more.
Strips, signals, and cursors
Axis grouping, drag-to-reorder, zoom/pan, and placing dual cursors.
Calculated signals
Writing mathjs formulas, how and when they evaluate, and what gets saved.
Virtual sensor training and auto-tuning
Random Forest, XGBoost, and Neural Network models, with automatic hyperparameter search.
Model Competition
Training several model families at once and ranking them on a held-out validation split.
Virtual Signals panel and importing models
Every trained model as a reusable signal, and re-importing a previously exported model.
Simulink model viewer
Viewing a .mdl/.slx block diagram read-only - no MATLAB or Simulink license needed.
Saving, exporting, and slicing
Session configuration files, PNG strip export, and time-sliced measurement export.
Licensing
Node-locked and floating licenses, and the 7-day trial.