
NovoNumeric
Advanced Statistical Analysis
Only for Mac
$49.99
Mac
Fast, friendly statistics software for Mac. Import data, run t-tests, ANOVA, regression & more, visualize instantly, and export polished PDF reports-no coding required.
Unlock the full potential of your data with NovoNumeric, the premier statistical analysis application designed exclusively for macOS. Whether you're a student tackling a thesis, a researcher publishing a groundbreaking study, or a data analyst seeking clear insights, NovoNumeric provides a seamless and powerful end-to-end workflow without the steep learning curve of command-line software.
Effortless Data to Insight
Move beyond cumbersome spreadsheets. Import your CSV or Excel (.xlsx) files with a single click and let NovoNumeric's intelligent data management tools prepare your dataset for analysis.
Compute & Recode: Easily create new variables from formulas or group continuous data into categories.
Normalize & Filter: Standardize your data with Min-Max or Z-Score scaling and focus on specific subsets with powerful filtering options.
A Comprehensive Statistical Suite
Perform a wide array of statistical tests through an intuitive graphical interface. NovoNumeric handles the complex calculations, so you can focus on the results. Each test automatically generates the most appropriate visualization, bridging the gap between numbers and understanding.
Foundational Tests: Descriptive Statistics, Frequency Distributions, Pearson's Correlation, and Normality Tests (Shapiro-Wilk).
Parametric & Non-Parametric Tests: Independent & Paired T-Tests, ANOVA, Mann-Whitney U, Kruskal-Wallis, and Chi-Square tests.
Advanced Predictive Models: Simple & Multiple Linear Regression (with VIF diagnostics), and Logistic Regression with automatic ROC Curve generation.
Multivariate Analysis: Perform Factor Analysis (PCA) and K-Means Clustering with just a few clicks. Includes automatic Scree Plot and Cluster Plot generation.
Specialized Analyses: Conduct Kaplan-Meier Survival Analysis and Time Series Analysis with ACF plots.
Stunning, Publication-Ready Visualizations
Create beautiful, clear, and customizable charts powered by the native SwiftUI Charts framework.
Wide Array of Charts: Includes Bar Charts, Scatter Plots, Box Plots, Histograms, Line Charts, Heatmaps, and more.
Customize Your Look: Add titles, change colors, and toggle a best-fit regression line on scatter plots.
Export with Ease: Save your charts as high-resolution PNG files or generate a complete, professional PDF report that combines your chart and statistical output into a single, shareable document.
Built for the Mac
NovoNumeric is not a port or a web app. It is a true, native macOS application built with Swift and SwiftUI for maximum performance, stability, and a look and feel that is perfectly at home on your Mac. All your data and analyses remain private and secure on your local machine.
Download NovoNumeric today and transform your data analysis workflow.
Ratings & Reviews
This app hasn’t received enough ratings or reviews to display an overview.
New: Results auto-format into a table for “Key: Value” outputs
New: Scrollable Results panel for long analyses
Improved: PDF export now includes the entire results (multi-page when needed)
Improved: Layout stays usable on big datasets; panes are scroll-friendly
Fixed: Duplicate “Results” appearing in some tests
Fixed: Build issues with table rows & text parsing
Other: Performance and stability tweaks
The developer, Mohammed Jaseem Ibrahim K, indicated that the app’s privacy practices may include handling of data as described below. For more information, see the developer’s privacy policy .
Data Not Collected
The developer does not collect any data from this app.
Accessibility
The developer has not yet indicated which accessibility features this app supports. Learn More
Information
- Seller
- Mohammed Jaseem Ibrahim K
- Size
- 5.8 MB
- Category
- Productivity
- Compatibility
Requires macOS 14.6 or later.
- Mac
Requires macOS 14.6 or later.
- Languages
- English
- Age Rating
4+
- 4+
- Copyright
- © Mohammed Jaseem Ibrahim K
