• Import measurements from a photo: pick a photo of a printed table, choose a column and check the values before adding them. Everything is read on your device. • On iOS 27, you can try an optional beta in Settings that uses on-device Apple Intelligence to read table layouts. • Charts and editors adapt better to narrow windows, and important buttons stay visible. • Stability and bug fixes.

Evaluate data more easily with optional log-scaled axes in your charts. When you add lines into charts, extract parameters automatically based on the corresponding axis transformation. log-y and regular x? Extract the parameters that model y ~ A * exp(lambda x)!

What’s New in Version 1.4 This update focuses on faster physics workflows, stronger data analysis, and better chart tooling. ## Distribution Analysis & Normal Testing Added a dedicated Distribution Analysis workspace to evaluate how measured or derived series compare to normal-distribution behavior. ## Redesigned, movable Charts - manually place and move reference/fit lines - fit normal distributions over peaks - export fitted function parameters back into the worksheet ## Quality of life updates: - Added a new Const library of known derived formula templates you can insert into a worksheet in one tap (as editable, formula-linked derived values). - Added a Migration Assistant to help update multiple co-dependent worksheet fields together for easier worksheet reuse. - More flexible import: Import measurement series not only as column vectors, but also as comma separated list

/ Built in support for the most common constants / Visual overhaul for creating derived values, so you need to click less

Mark & annotate outliers in your source data, and decide how to propagate & visualize them through your analysis

Inspect your measurements & derived values visually in customizable histograms that also show you statistical properties like the median and sigma-bands around the statistical mean.

Input your data more easily by pasting TSV-structured data (e.g., copied form Tabular/Sheets software of your choice) directly into the measurements input fields! Also: / A way to manually set & save the presented axis ranges of charts / Some minor bug fixes in charts presentation.

Version 1.2 Sample Statistics from Raw Data: Turn a list of constant values directly into a sample mean with its standard deviation as the uncertainty estimate. Perfect for repeated measurements where you want σT to compute the statistics for you. Pivot Tables: Reshape long-format data into cross-tabulated views. Select columns for row labels, column headers, and values—then aggregate by mean, sum, or product. Further process the results, e.g., take the log of the results. Ideal for comparing conditions across experimental runs or simple A/B analyses. Includes built-in visualization of the resulting table.