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 MS SQL Server postgresql |
| Translations | English Croatian Spanish Breton Galician |
Recent releases
- 19 Dec 2011 22:02
Release Notes: Better support for non-English translations and much better, smaller, and simpler installers for Windows and Mac OS X.
- 24 Nov 2011 03:51
Release Notes: Installation into non-English environments should now work without any problems.
- 10 Oct 2011 16:06
Release Notes: Excel can now be imported from Mac and Linux as well as Windows. ODS importing now copes with single "divider" columns (i.e., columns with no field name in the header). CSV importing now autofills blank columns with field numbers such as Var018. This release is more informative if there are locale issues and if it's unable to connect to MySQL on a Mac. It changes the standard deviation in report tables from population sd to sample sd.
- 21 Aug 2011 07:33
Release Notes: Access to data was made much easier; you can now open a data table from anywhere the table can be selected, such as charts, report tables, and stats analyses. Importing from Google Doc spreadsheets now automatically starts the import process if downloading was successful. Importing from spreadsheets was made easier; SOFA now shows the user the first 4 rows of spreadsheets so the user can decide whether it has a header or not. Windows users can install into any folder now, not just the one with sofastats in the name.
- 28 Jul 2011 13:46
Release Notes: Data entry was made much easier and quicker. Importing of CSV files with lots of fields is now much faster. Feedback to the user was improved if a problem occurs in the early stages of starting SOFA. Lots of bugs were fixed.
Recent comments
SOFA Statistics is easy to use and a very pleasant experience, and I've quickly found it's simply the easiest way to access and query all sorts of databases. Once the planned graphical/charting enhancements are added, I would expect SOFA will take off quickly in terms of popularity and fandom.
I think this has potential to be a revolutionary product in several ways. There are no other products quite like SOFA, and it represents a breakthrough in making statistics accessible to everyone. It's easy enough to be used by the business analyst who doesn't need SPSS, SAS or other systems -- or who just doesn't feel like spending thousands of dollars on a piece of desktop software.
As such, it has potential to bring the benefits of statistics to a whole new population of business intelligence and academic users. The trend that SOFA Statistics may, then, subsequently unleash will likely eventually force IBM and others to make competitive repositionings of enterprise statistics applications such as SPSS.
Grant 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.
Heartbeat
- Popularity Score
- 471.09
- Vitality Score
- 34.21
- Subscriptions
- 55
