Gallery

Explore LabPlot’s powerful data visualization and analysis capabilities through these screenshots and examples.

LabPlot in Action

Basic Plots

Combination of basic visualizations with spreadsheet data

Basic Statistic Analysis

Basic statistical analysis of data

Custom Worksheet Layout

Multiple plots and images on the worksheet

Theming

Apply themes to worksheets easily

Mathematical Functions

Expression parser with pre-defined functions

Fitting

Fit to experimental data

Smooth

Data smoothing in iterations

Notebook Interface

Maxima session in LabPlot

FFT and Fourier-Filter

Signal analysis with FFT

Herzsprung-Russell Diagram

Multiple axes and data annotations

Access to CAS Results

Maxima computations visualized

Data Extractor

Extract data from images

Cursor

Measure positions and distances

Supported 2D Visualisations

Different visualisations can be categorised using seven relationship types (nominal comparison, time series, ranking, part-to-whole, deviation, frequency distribution, correlation) and four encoding objects (points, lines, bars, boxes). Below is a selection of examples created in LabPlot that fall into the different categories.

Nominal Comparison

Contrasts numerical metrics across various subcategories.

Time Series

Tracks change in value of a metric over time.

Ranking

Illustrates how multiple values compare to each other in relative magnitude.

Part to Whole

Displays a subset of data in relation to the larger whole, typically used to illustrate proportions or percentages.

Deviation

Shows how much difference is between a numerical metric and a reference metric.

Frequency Distribution

Represents the number of occurrences of different values or categories within a dataset.

Correlation

Demonstrates if variables exhibit potential positive or negative correlation to each other.

× ❮ ❯