SOFA Statistics
SOFA is a statistics, analysis, and reporting program with an emphasis on ease of use, learning as you go, and beautiful output. SOFA can connect directly to your database and lets you display results in an attractive format ready to share or put in a spreadÂsheet. SOFA will help you learn as you go, whether you are a student, business analyst, or researcher.
| Tags | Statistics Analysis Reporting |
|---|---|
| Licenses | AGPLv3 |
| Operating Systems | Linux Windows |
| Implementation | Python wxWidgets MySQL SQLite MS Access |
Recent releases
- 10 Jul 2010 11:38
Changes: Data can now be recoded using a simple interface e.g. age to age group. The Statistics Test Selection form now provides users with helpful tips and the ability to assess data grouping, normality, and data type when making decisions. When importing CSV files, the user can see a sample displayed and choose a different encoding if it doesn't look correct, especially for non-English characters. Installation on Windows is now much nicer. SOFA now copes with being installed in a greater variety of folders. Anything containing 'sofa' is OK.
- 28 Jun 2010 13:09
Changes: Online help was integrated. You are now able to look at and manipulate your SOFA data using free and open source tools like Sqlite Database Browser (http://sqlitebrowser.sourceforge.net/). Improvements were made for connecting to Google Docs spreadsheets. Major improvements were made to usability around data entry. You are now able to edit variable details from the table config dialog. Much more useful help is given when errors are encountered while importing CSV files.
- 12 Jun 2010 11:36
Changes: Data can now be imported from Google Spreadsheets. More intuitive handling of read-only columns and missing values in data tables was implemented. A more helpful example of flexible filtering techniques was added.
- 02 Jun 2010 16:39
Changes: A Mac OS X package is available for Leopard and Snow Leopard. The MySQL plugin now works with older versions of MySQL such as 4.1, and allows port details e.g. for remote connections. All database plugins allow empty default database or table configuration details. It is now easier to fill in the connection details in a project. Placement of dialogs on smaller screens was improved so that nothing gets put off-screen. Various error messages were improved to make them more useful.
- 24 Apr 2010 08:32
Changes: Three attractive output styles were added - grey_spirals, lucid_spirals, and pebbles. These include background images. It is now much easier to select and switch styles. Crosstabs with column totals and row percentages now have a freq in the total column even if freq not selected. Better guidance is provided when configuring report tables. Configuration settings (e.g. pref output style) persist across dialogs. Last configured row summary measures are the default for new variables added to the table. The expand button opens a much larger viewing window. The application now provides useful error messages even if it fails very early.
Heartbeat
- Popularity Score
- 367.13
- Vitality Score
- 26.72
- Subscriptions
- 37
- All comments
Recent commentsGrant is a very responsive project manager. Sofa looks very promising from my point of view and I'm waiting for next release to use all its features.
If you are migrating from commercial statistics software like SPSS, SAS or even R, Sofa statistics is a great bet. Not only does it have an intuitive GUI, it is light on system resources and produces neat output in HTML/CSS unlike any other software I have come across. In addition, suggestions and bugs are rapidly addressed by the developer.
This project is really promising. The interface lets you choose the right statistical test and and tables are also easy to make. Some tests and features are not implemented yet, but as soon as these things are implemented statistics will be easy for everyone.
Easy to use, connects to a wide range of databases and works on both Linux and Windows. Straightforward installation, and a simple, elegant design.
HTML tabular data is quick and easy to produce, and generated quicky, even from large data sets. Helpful warnings to stop you running stupid queries.
Data can be exported into spreadsheets.
Basic statistical and summary functions available now, and more expected later.
Highly recommended. The easiest way to get well-presented data from an existing dataset.