Stratum - 2026 Pricing, Features, Reviews & Alternatives

Stratum is a native desktop application for macOS Sonoma and later or Windows ten and eleven sixty-four bit. The software operates entirely offline without dependencies on cloud services, scripting languages or notebook environments. It is designed for data analysts, quality engineers, researchers and business intelligence professionals who require advanced statistical analysis and high-performance data visualization within a single, self-contained environment. Stratum is built using Swift on Mac and a native compilation process on Windows to deliver fast launch times and responsiveness even with large datasets.

The application opens CSV, TSV or Excel files in seconds with automatic delimiter detection and column type inference before displaying data in a virtualized grid. Users can create re-editable formula columns using over one hundred built-in functions for data transformation without external code. A dockable filter inspector supports fine-grained filtering, joining, stacking, aggregating, deduplicating and sampling operations. Stratum includes more than thirty chart types, such as histograms, box plots, violin plots, scatter plots, treemaps, contour plots, dumbbell charts, Pareto charts and mosaic plots, each offering live configuration controls and direct export to PNG or PDF.

Inferential statistics capabilities encompass analysis of variance, multivariate analysis of variance, correlation tests, two-sample and contingency tests, and linear regression with full diagnostic outputs. Both parametric and nonparametric options are available. Statistical process control features include I-MR charts, X-bar R slash S charts, p slash np charts, c slash u charts, CUSUM charts and EWMA charts with all eight Nelson rules implemented for quality engineering workflows. Integrated machine learning algorithms such as principal component analysis, K-means clustering, hierarchical clustering, decision trees, random forests and boosted trees are implemented in pure Swift for seamless model building alongside descriptive and inferential workflows.

A proprietary .stratum file format preserves complete projects by storing datasets, analyses, filters and styling configurations together for seamless continuity. Accessibility features include independent text scaling controls for the interface, data grid and report outputs to accommodate varying readability needs. All functionality is available without third-party integrations or external API dependencies, and no data is transmitted to external servers, ensuring that all analytical results remain on the local machine throughout the workflow.