With ScryLab, data from a running Python environment or from measurement files can be explored
in interactive plots for side-by-side comparison and analysis.

It includes line, scatter, XY, frequency and spectrogram views, plus tools from simple operations
like addition, derivative and integral to advanced analysis such as FFT and STFT, including moving
averages and regression.

Imports CSV and Excel tables with a guided import that detects time columns, plus MDF measurement
files (.mf4, .mf3, .dat). HDF5 is ScryLab's own storage format; HDF5 files from other tools load
as long as they contain plain 1-D signal datasets. A local REST API accepts signals from any programming
environment or toolchain.

Includes an optional AI assistant that can operate ScryLab. It comes with a free trial; further
usage requires purchasing credits on the website or bringing your own API key / connecting via
MCP.