With an average user rating of 4.1★, the rowswift category is one of the App Store's strongest. Browse all 250+ apps we track, sorted so the most loved ones surface first.
Analyze and visualize comma-separated files directly on your device. Inspect CSV structures, summarize columns with key statistics, and create various charts like histograms and scatter plots. Filter large datasets and export charts or modified data.
Design impressive spreadsheets with a flexible canvas, interactive charts, and powerful functions. Collaborate with others and access your work across devices. Includes tools for data analysis and text composition.
Create, edit, and collaborate on spreadsheets from anywhere, anytime. Work offline, format cells, insert formulas, and view charts. Seamlessly edit Excel files and enjoy automatic saving of your work.
What We Love
👍 Easy to use
🚀 Convenient mobile access
💡 Collaborative features
🔒 Secure cloud storage
Room to Improve
🐛 Crashes and stability issues
📱 Limited functionality compared to desktop version
RowSwift tops our rowswift apps ranking as of August 2026, with a 5.0-star average from 1 App Store ratings, and it's free to download.
Are there free rowswift apps for iPhone?
Yes — 19 of the top rowswift apps we rank are free to download, including RowSwift and Numbers: Make Spreadsheets.
Does RowSwift have ads or in-app purchases?
RowSwift has no ads and has no in-app purchases, according to its App Store listing as of August 2026.
How many rowswift apps are on the App Store?
We track 250+ rowswift apps on the iOS App Store as of August 2026, ranked by rating, recency, and analysis of real user reviews.
What file formats does RowSwift support?
RowSwift primarily focuses on comma-separated value (CSV) files. You can open CSVs from your device's Files app, iCloud Drive, a web URL, or by pasting from your clipboard.
How does RowSwift handle large CSV files?
For large files, RowSwift includes row filters that allow you to focus on specific portions of your data. This feature helps maintain smooth scrolling and efficient analysis even with extensive datasets.