NovoNumeric Logo NovoNumeric
v4.3 Production Release

The Standard for
Native Statistics.

Perform rigorous research analysis without the complexity of R or the cost of SPSS. Built on Apple Accelerate for hardware-optimized linear algebra and Local-First Architecture for absolute data privacy.

Power Analysis (A Priori)
IRLS Regression
100% Offline Processing
Newton-Raphson Logic
NovoNumeric Application Interface

Privacy Audit

No Cloud Uploads

Why Researchers Choose NovoNumeric

We replaced legacy codebases with modern, Swift-native architecture. The result is a tool that feels like a Mac app but computes like a supercomputer.

Hardware Accelerated

Built directly on Apple's Accelerate Framework. Matrix operations (SVD, LU Decomposition) utilize the Neural Engine and GPU for instant results, even on large datasets.

Data Sovereignty

A strict Local-First policy. Your CSVs and research data never leave your device. Perfect for HIPAA-compliant environments and sensitive academic research.

Scientific Precision

We use Log-Gamma functions to prevent factorial overflow in large samples and IRLS for logistic regression convergence. Precision matches R to the decimal.

A Complete Research Workflow

Stop switching between Excel for cleaning, R for analysis, and Illustrator for plotting. NovoNumeric handles the entire pipeline.

1

Import & Clean

Async loading for large CSV/XLSX files. Built-in editor to Recode variables, Compute BMI/Scores, and filter outliers via listwise deletion.

2

Analyze & Model

Run 30+ tests including Two-Way ANOVA, Kaplan-Meier Survival, and Factor Analysis (PCA). Check assumptions with Normality and VIF tests.

3

Report & Publish

Generate high-resolution PNG charts (300 DPI) and comprehensive PDF reports containing all your results and tables.

Analysis Workflow

Industry Standard Capabilities

Verified against standard datasets for accuracy.

Regression

Linear, Logistic, Poisson

Multivariate

PCA, K-Means, Clustering

Survival

Kaplan-Meier, Censoring

Comparison

ANOVA, T-Tests, Non-Parametric

Time Series

Autocorrelation (ACF)

Reliability

Kappa, Bland-Altman

Power Analysis

Sample Size Estimation

Visuals

3D, Interactive Charts

Ready to upgrade your workflow?

Join researchers, students, and data scientists who have switched to a native, privacy-first statistical environment.

Download on Mac App Store