Reveal the Unseen.

Desktop app for visualizing and analyzing measurement and simulation data for engineers.

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Linux · Windows

Showcase

Visualization

Extensive plot types

Workflow integration

Measurement and simulation data

Load MDF measurement files directly – or connect ScryLab to Python/MATLAB to use it as a plotting tool.

import scrylab as scry

t = np.linspace(0, 1, 1_000)

scry.plot(np.sin(2 * np.pi * 10 * t), name="Sine 10Hz", x=t, y_unit="V", x_unit="s")

t = linspace(0, 1, 1000);

scry.plot(sin(2*pi*10*t), name="Sine 10Hz", x=t, y_unit="V", x_unit="s")

curl -X POST http://localhost:5678/api/signals/send \
  -H "Content-Type: application/json" \
  -d '{
    "name": "My Signal", "y": [0.0, 0.5, 1.0, 0.5, 0.0], "y_unit": "V",
  }'

Variable possibilities

Compare different datasets

Plot signals from multiple measurement runs or simulations side by side in the same plot. Differences stand out immediately – whether comparing run to run or measurement against simulation.

Mathematical operations

Manipulate signals

Operations like addition, spline fitting, RMS, or transfer function can be applied as a processing step. Every step can be adjusted, disabled, or removed at any time.

Smooth scrolling

Explore large datasets

Zoom, scroll, and navigate fluently – even with datasets of over 10 million samples, ScryLab runs at more than 60 FPS.

FAQ

Is ScryLab suitable for my use case?

ScryLab is designed for rapid analysis and comparison of technical measurement and simulation data – particularly in the time and frequency domain up to the megahertz range. If you want to understand, manipulate, and directly compare physical signals without building your own scripting environment, this tool is well-suited. ScryLab is less suitable for extensive statistical evaluations, data science workflows, reporting, or complex database structures. The focus is clearly on interactive, signal-based analysis and gaining physical insights.

What sets ScryLab apart from traditional measurement data analysis programs?

While many established programs offer very extensive feature sets and sometimes include their own scripting or automation logic, ScryLab focuses on a streamlined, direct approach. The application integrates into existing workflows and enables intuitive manipulation, comparison, and step-by-step evaluation of physical signals. Signal operations remain editable, results are immediately visible, and navigation and zooming are continuous without disruptive interaction. The goal is a simple, transparent analysis environment that supports physical understanding – not a second development platform within the existing toolchain.

What types of signals can be analyzed?

The application is designed for time- and frequency-based signals in the range from approximately 1 Hz to the megahertz range. Supported types include: time series, frequency spectra, spectrograms, transfer functions, non-monotonic XY data. It is particularly suitable for high-frequency measurement and simulation data from technical systems where performance and direct comparability are crucial.

Is an internet connection required?

After license activation (once per year), no internet connection is required. This allows ScryLab to be used flexibly outside of a fixed workplace, for example during vehicle or aircraft testing.

Which operating systems are supported?

ScryLab is cross-platform and runs on both Linux and Windows.

Where does the name ScryLab come from?

The goal of development was to make data analysis as simple and intuitive as possible. The name ScryLab combines "scrying" – an ancient method of predicting the future by observing reflections – with "Lab" for laboratory. Together, they represent the vision of making hidden insights in data visible: Reveal the Unseen.

Our plans

Plan overview

Non-commercial

For personal use and education

Free

All features
Free updates
Commercial use
Support
No watermark

Download free

Commercial

For professional use

Custom

All features
Free updates
Commercial use
Support
No watermark

Our plans