Publication-grade chart library
Histograms, box, violin, raincloud, swarm and strip plots, bar and line charts, 2D and 3D scatter, heatmaps, volcano, Manhattan, ROC, Kaplan–Meier, Bland–Altman, dose–response, PCA and clustering, forest plots and more.
Native statistical engine
70+ functions compiled to machine code: descriptive statistics, eight distributions, parametric and non-parametric tests, normality and variance tests, correlations, effect sizes, power analysis, survival, time series, mixture models and outlier detection.
Statistics on the figure
Gaussian and log-normal fits, significance brackets with multiple-comparison correction, confidence bands, regression lines and quartile markers are drawn from the analysis, not typed in by hand.
Multi-dataset comparison
Overlay any number of datasets with independent axes, per-series styling and grouped statistics. Long or wide data, both understood.
Data processing
Normalisation, smoothing, baseline correction, peak detection, curve fitting (Levenberg–Marquardt) and Box–Cox / Yeo–Johnson transforms, all recorded in the plot's configuration.
Export that journals accept
SVG, PDF and PNG at up to 1200 DPI with embedded fonts, on-screen or custom sizing, and a .labt file that preserves the full chart state for later editing.