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Swipht Group

Replace IBM SPSS, Amos, Smart-PLS native for MacOS

SwiphtNum is a professional statistical computing app for macOS 14+. Our purpose-built native engine runs directly on Apple Silicon—delivering PLS-SEM, CB-SEM, and Bayesian Analysis at full hardware speed, in an app under 30 MB. No external runtimes. No bloat. Excel-like spreadsheet, SPSS-style workspace, SCL scripting, APA reports, OSF bridge, Apple Intelligence & Shortcuts. Engineered lean.

Top comment

Here is my story about a solo developer: I tried for almost 3 years to create SwiphtNum to try to compete with or replace IBM SPSS, IBM SPSS Amos, and SmartPLS on macOS. At the beginning, I just feel frustrated about IBM SPSS's performance and speed on Apple chips. After I upgraded my macOS to the latest stable version, I found that IBM took several months to solve this compatibility problem on macOS. What's more, I hate their old Java Swing GUI, and I must pay even more to use IBM SPSS Amos only on Windows with terrible UI/UX! However, I didn't have a Windows PC at that time. I've had totally enough! So I tried my best day and night, working over 13 hours per day, to create SwiphtNum and its special computing engine and UI components. It is really hard. At the first time, I just want to create a GUI app to use existing R or Python packages. However, I find if I want to release it to the Apple App Store, I need to follow Apple's rules. And while I am in the middle of the development road of the first version. I found supporting macOS, iOS, and visionOS at the beginning by myself to be impossible. So, SwiphtNum currently only supports macOS. Eventually, I used tons of time on creating and maintaining SwiphtNum's own unique computing core. Finally, I use Swift and C to provide an amazing minimum size of the app and blazing speed and high performance. For reliability and credibility, I have verified SwiphtNum's results with R and Python's packages. I know I just created SwiphtNum, so it may have bugs or issues. If you discover any of them, please just tell me or send me an email. You can find contact info on swiphtgroup.com. I appreciate any invaluable suggestions you have. I hope you love SwiphtNum. She is my first project in my life. You can download and try it on the Apple App Store. Cheers!

About Swipht Group on Product Hunt

Replace IBM SPSS, Amos, Smart-PLS native for MacOS

Swipht Group was submitted on Product Hunt and earned 4 upvotes and 1 comments, placing #123 on the daily leaderboard. SwiphtNum is a professional statistical computing app for macOS 14+. Our purpose-built native engine runs directly on Apple Silicon—delivering PLS-SEM, CB-SEM, and Bayesian Analysis at full hardware speed, in an app under 30 MB. No external runtimes. No bloat. Excel-like spreadsheet, SPSS-style workspace, SCL scripting, APA reports, OSF bridge, Apple Intelligence & Shortcuts. Engineered lean.

On the analytics side, Swipht Group competes within Apple, Data Science and Statistical Analysis — topics that collectively have 20.3k followers on Product Hunt. The dashboard above tracks how Swipht Group performed against the three products that launched closest to it on the same day.

Who hunted Swipht Group?

Swipht Group was hunted by Pengfan Chang. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

For a complete overview of Swipht Group including community comment highlights and product details, visit the product overview.