Native macOS statistics
SwiphtNum
Professional statistical computing for data preparation, guided analysis, SCL automation, and publication-ready results on macOS.
At a glance
- Platform
- macOS 26.0 or later.
- Processing model
- Local Swift analysis engine with user-selected file access.
- Support
- [email protected]
Data workspace
Import CSV, Excel, SPSS, JSON, and project data into a spreadsheet-style workspace with variable metadata, validation, and reusable project files.
Analysis library
Run descriptive statistics, reliability, correlation, regression, t-tests, ANOVA, mediation, moderation, SEM, time series, and advanced models.
Output and SCL
Review results, export reports, and automate repeatable workflows with SwiphtNum Language commands and Apple platform automation.
Built for research data you control
SwiphtNum is sandboxed on macOS. You choose the files it can open or save, and core analysis runs on your Mac. jpfchang.org does not receive, host, or analyze your datasets.
Optional features that connect to external services, databases, or APIs use the endpoints and access details you configure. App Store purchases are handled by Apple through StoreKit.
Monthly
US$4.99
Includes a 7-day free trial for eligible new subscribers. Renews monthly until cancelled.
Yearly
US$49.99
Includes a 14-day free trial for eligible new subscribers. Renews yearly until cancelled.
FAQ
What does SwiphtNum do?
SwiphtNum helps Mac users import data, prepare variables, run guided statistical analyses, export results, and automate repeatable work with SCL.
Does SwiphtNum process data on my Mac?
Yes. Core statistical workflows run locally on your Mac. SwiphtNum does not host your datasets or analysis projects on jpfchang.org.
What is included with full access?
Full access unlocks the SwiphtNum data workspace, analysis library, SCL automation, report export workflows, tutorials, and bundled sample data.
Get SwiphtNum
SwiphtNum is distributed through the Apple App Store for macOS.
Apple, Mac, macOS, and App Store are trademarks of Apple Inc. SwiphtNum is an independent work and is not affiliated with or endorsed by Apple Inc.
