Spotxel® Reader vs RowSwift

Spotxel® Reader is a free, feature-complete app for image-based microplate-reader workflows and colorimetric assay analysis. Use Spotxel® Reader to capture or load a microplate image, align the well grid, select the measured color channel, quantify well signals, define standards and unknowns, calculate a standard curve, derive unknown concentrations, review well data, and export assay results. The guided, page-based workflow includes Camera, Image Analysis, Assay Setup, Standard Curve, Well Data, Assay Report, Purchases, and Settings. Key features: - Capture or load microplate images for analysis - Quantify colorimetric well signals from plate images - Select the measured color channel - Align the well grid manually or with the Align Grid beta feature - Save and load reusable grid profiles - Define standards, unknowns, well names, and notes - Import and export assay setup CSV files - Calculate standard curves and unknown concentrations - Review sortable per-well signal and concentration data - Export well data as CSV - Create PDF assay reports - Organize generated files in the Spotxel Reader workspace under On My iPhone or On My iPad - Select camera and default microplate grid settings - Rotate and flip images and grids - Customize the interface with color profiles and light or dark appearance modes - Access expanded in-app help and documentation All analysis features are available in the free version, which includes a small advertising placement. The optional Perpetual License and auto-renewable 3-Month Subscription remove advertising. Terms of Use (EULA): https://www.apple.com/legal/internet-services/itunes/dev/stdeula/

RowSwift lets you explore and analyse comma-separated files right on your device. Open a CSV from Files, iCloud Drive, a URL, or the clipboard and inspect its structure. The app summarises each column by showing counts, unique values, minimum and maximum, mean, and quartiles. You can switch between histogram, box-plot, scatter-plot, pie chart, and line views to understand distributions and relationships. When a file is large, row filters help you focus on the portion that matters while keeping scrolling smooth. Any chart can be saved as a PNG, and data can be written back to CSV. All processing stays on your device. RowSwift collects no analytics and requires no account.