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.