JASP is an open-source statistics program that conveniently analyze data, present and publish valid results in an intuitive manner with the help of this highly efficient utility that allows both classical and Bayesian analyses.

About JASP

Created by a team of dedicated academics from the University of Amsterdam, JASP Probably the first thing you should know about this application is the fact that it's capable of performing most types of both Frequentist and Bayesian analysis, with support for ANOVA, ANCOVA, Binomial Test, Contingency Tables, Correlation: Person, Spearman, Kendal, Linear Regression, Log-Linear Regression, and T-Test, as well as many others.

JASP Main Features

- JASP is an open-source project supported by the University of Amsterdam.
- JASP has an intuitive interface that was designed with the user in mind.
- JASP offers standard analysis procedures in both their classical and Bayesian form.
- Frequentist and Bayesian analyses
- Dynamic update of all results
- Spreadsheet layout and an intuitive drag-and-drop interface
- Progressive disclosure for increased understanding
- Annotated output for communicating your results
- Integrated with The Open Science Framework (OSF)
- Support for APA format (copy graphs and tables directly into Word)

JASP Screen shot

Getting Started

Before you do anything else, we strongly recommend that you visit the JASP YouTube channel and the ‘How to Use JASP’ page, where you can find introductory blog posts and videos. Below is some general information about JASP that may be helpful as you analyze your first data set. We invite you to post any remaining questions on the JASP forum or on the JASP GitHub page.

Data Sets
JASP comes with a series of example data sets that can be accessed from the ‘File → Open’ tab. Selecting an example data set will open it in JASP for inspection, editing, and analysis. In addition to its own .jasp format, JASP can open data sets in formats such as .csv (comma-separated values), .txt (plain text), .sav (IBM’s SPSS), and .ods (OpenDocument Spreadsheet). Note that all files need to have a header row that contains names for each of the columns or variables. Missing values can either just be missing (i.e., an empty cell) or be denoted by “Nan”, “.” (period), or ” ” (space). When opening a file, JASP makes a best guess to assign variable types, as explained below.

Variable Types
JASP distinguishes four variable types:

Nominal Text

Nominal Text variables are categorical variables without numeric value (i.e., strings). An example might be a variable called “Favorite Dutch Soccer Club”, with three possible entries: “Ajax”, “PSV”, and “Feyenoord”.

Nominal variables are categorical variables that are represented by numeric values. For example, a variable “Group” may have levels “1” and “2”. Even though these are numbers, they do not imply an order, and the distance between them is not meaningful.

Ordinal variables are categorical variables with an inherent order. An example might be a Likert preference rating scale with levels 1 (“hate it”), 2 (“yuk”), 3 (“meh”), 4 (“cool“), and 5 (“in love”). Note that the distance between the numbers is not meaningful. JASP assumes that all ordinal variables have been assigned numeric values.

Continuous variables are variables with values that allow a meaningful comparison of distance. Examples include income, IQ, or weight. Variable types in JASP are often enforced; for instance, you are not allowed to conduct a t-test when your dependent measure is nominal.

Variable Type Assignment
When loading a file, JASP automatically assigns variable types according to the following rules:

If the variable contains only integer values and missing values, and contains fewer than 25 unique values, then it is assigned a variable type of Nominal. If the variable contains only integer values, floating point numbers, missing values, and +/- infinities, then it is assigned a type of Continuous. Otherwise the variable is assigned a type of Nominal Text.

Changing Variable Types
If need be, the automatic variable type assignment can be corrected manually. When you click the icon representing the variable type at the top of the column, a menu is produced that allows you to choose a different variable type. Values incompatible with the new variable type are automatically converted to missing values. But be careful! JASP presently does not feature an “undo” facility, so if you change a Nominal Text column full of text values to a type such as Continuous, the entire column will be converted to missing values. At present, there is no way to undo this action and it will be necessary to reload the data set.

Having loaded a data set, it is now possible to run analyses. After selecting an analysis from the ribbon along the top you will see input options for that analysis in the left panel, and the associated output in the right panel. As the input options are specified, the analysis results automatically update, providing immediate feedback.

When the analysis has been specified to your satisfaction, you can return to the data view by clicking the “OK” button. You can return to an earlier analysis simply by clicking on the output of interest. This brings up the options that were used to generate that analysis, and allows you to make adjustments or additions.

There is much more to say about JASP: its ability to annotate output, to interact with the Open Science Framework, to conduct sophisticated analyses using modules, to save APA tables and publication-ready figures, and much more. These options are discussed in our YouTube videos. We are also in the process of writing a JASP manual.


Which file formats does JASP support?
JASP can open the following file types:
- .csv (any text files with comma/semicolon/colon/tab separated columns)
- .sav (SPSS files)
- .ods (Open Document Spreadsheet format, that is used by software such as OpenOffice, LibreOffice and Excel)

What does JASP stand for?
- In recognition of Bayesian pioneer Sir Harold Jeffreys, JASP stands for Jeffreys’s Amazing Statistics Program.

What programming language is JASP written in?
The JASP application is written in C++, using the Qt toolkit. The analyses themselves are written in either R or C++. The display layer (where the tables are rendered) is written in javascript, and is built on top of jQuery UI and webkit.

If JASP uses R for doing analyses, is it possible to export the R code which was used for that analysis?
Not without considerable effort. When JASP was first developed, our focus was on producing a GUI that would retain the desirable properties of syntax (such as reproducibility) without requiring or producing syntax itself. We believe we did a decent job on the GUI, but we recognize that some users still like easy access to the R code. We hope to add this functionality in a future version.


Download JASP for MAC here!

JASP for Linux

JASP is now available for virtually all Linux distributions through the widely available flatpak. This is most likely already installed on your distribution and otherwise can be easily acquired through your package manager. After you have installed flatpak enter the following command into a terminal:

flatpak install http://static.jasp-stats.org/flatpak/JASP.flatpakref

It might not be automatically added to the application menu in some cases (ubuntu for instance) and there you can start JASP by running:

flatpak run org.jasp.JASP

After you have installed JASP from flatpak any new releases/updates can be installed by running:

flatpak update

Should the flatpak install fail to work for some reason you can always contact us for support or you can try to build JASP from source.


To conclude JASP works on Windows operating system and can be easily downloaded using the below download link according to Freeware license. JASP download file is only 252 MB in size.
JASP was filed under the Science and Engineering category and was reviewed in softlookup.com and receive 5/5 Score.
JASP has been tested by our team against viruses, spyware, adware, trojan, backdoors and was found to be 100% clean. We will recheck JASP when updated to assure that it remains clean.

JASP user Review

Please review JASP application and submit your comments below. We will collect all comments in an effort to determine whether the JASP software is reliable, perform as expected and deliver the promised features and functionalities.

Popularity 10/10 - Downloads - 53 - Score - 5/5

Category: Science and Engineering 
Publisher: The JASP Team
Last Updated: 06/11/2019
Requirements: Windows 10 64 bit / Windows 10 / Windows 8 64 bit / Windows 8 / Windows 7 64 bit / Windows 7 / Windows Vista 64 bit / Windows Vista
License: Freeware
Operating system: Windows
Hits: 609
File size: 252 MB
Price: Not specified

Leave A comment
Name: *
E-Mail: *
Comment: *