Biovarase has been updated to version 2, 

The project has been migrated from python 2.7 to python 3.5

Biovarase is an application to manage clinical quality control data.

The purpose of Quality Control Assurance in a clinical laboratory is to allow 
the control of the performances of an analytical procedure showing an alarm as 
soon as the trial doesn't result in the degree to respect the defined 
analytical rules. Biovarase furthermore calculates the classical statistical 
parameters for the quality control assurance ,e.g. sd, cv%, avg, and even the 
Imp(%), Bias(%) and TEa (total allowable error) using data retrived from: 
Current databases on biologic variation: pros, cons and progress Scand J Clin 
Lab Invest 1999;59:491-500. updated with the most recent specifications made 
available in 2014.
It uses even the famous Westgard's rules to monitor results dataset.
All the data are managed by SQLite database and matplotlib.
To show levey jennings graph, in the main windows select a test and choose the 
relative batch.
To deactivate/activate a result make double click on it.
To insert, update or delete a batch or a result open from File/Batchs and 
To export data to a temp excel file click on File/Export.

Biovarase requires Python 3 
Biovarase use Tkinter and matplotlib

All source code on

I'made it for fun :(.
I would appreciate any suggestions you might have.


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