SOFA Statistics and Flamory

Flamory provides the following integration abilities:

Create and use window snapshots for SOFA Statistics
Take and edit SOFA Statistics screenshots
Automatically copy selected text from SOFA Statistics and save it to Flamory history

To automate your day-to-day SOFA Statistics tasks, use the Nekton automation platform. Describe your workflow in plain language, and get it automated using AI.

Screenshot editing

Flamory helps you capture and store screenshots from SOFA Statistics by pressing a single hotkey. It will be saved to a history, so you can continue doing your tasks without interruptions. Later, you can edit the screenshot: crop, resize, add labels and highlights. After that, you can paste the screenshot into any other document or e-mail message.

Here is how SOFA Statistics snapshot can look like. Get Flamory and try this on your computer.

SOFA Statistics - Flamory bookmarks and screenshots

Application info

SOFA Statistics is an open-source statistical package, with an emphasis on ease of use, learn as you go, and beautiful output. The name stands for Statistics Open For All. It has a graphical user interface and can connect directly to MySQL, SQLite, MS Access, and MS SQL Server. Data can also be imported from CSV or MS Excel files. The main statistical tests available are Independent and Paired t-tests, Wilcoxon signed ranks, Mann–Whitney U, Pearsons chi square, Kruskal Wallis H, one-way ANOVA, Spearmans R, and Pearsons R. Nested tables can be produced with row and column percentages, totals, sd, mean, median, and sum.

SOFA Statistics is written in Python, and the widget toolkit used is wxPython. The statistical analyses are based on functions available through the Scipy stats module.

Analysis and reporting can be automated using Python scripts – either exported directly from SOFA Statistics or manually written.

SOFA Statistics is also known as SOFA. Integration level may vary depending on the application version and other factors. Make sure that user are using recent version of SOFA Statistics. Please contact us if you have different integration experience.