JASP by Jasper Keuper: An Open-Source Data Analysis Software

JASP is an open-source statistical software aimed at making data analysis accessible and easier to use for researchers and students.
Introduction to JASP
JASP (Just Another Statistics Program) is a free, open-source statistical software application developed by the University of Amsterdam. It is designed to facilitate both classical and Bayesian statistical analyses through an easy-to-use graphical interface. Its primary aim is to provide a user-friendly environment for researchers and practitioners to conduct comprehensive statistical investigations with minimal effort.
Interface and Usability
The software features an intuitive, spreadsheet-style layout complemented by drag-and-drop functionality for ease of analysis setup. This simplifies the process for users unfamiliar with scripting languages or command-line operations, focusing instead on point-and-click interactions. Its dynamic update capability ensures that results reflect changes in input data instantly, streamlining the research workflow.
Analysis Capabilities
JASP supports a variety of standard analysis procedures essential to empirical research. These include t-tests, ANOVAs, regression analyses, factor analyses, and more. Significantly, it offers both traditional frequentist methods and Bayesian approaches, providing flexibility depending on the research context.
Features and Customization
- Progressive disclosure: It presents options and output incrementally to aid understanding and avoid overwhelming users with complexity.
- Annotated output: Results are documented clearly for easy interpretation and communication of findings.
- Publishing support: Includes features for generating high-quality graphs and tables compatible with APA formatting, facilitating publication-ready reports.
- Integration with OSF: Supports seamless uploading and sharing of data and analyses within the Open Science Framework, promoting transparency and reproducibility.
- Support for multiple formats: Users can copy graphs and tables directly into Word documents or other formats required for academic publishing.
Educational Resources and Community Support
JASP provides comprehensive resources for beginners including getting started guides and detailed tutorials that elucidate how to navigate the software effectively. Its development community includes notable figures from the field of statistics and psychology, offering ongoing support and updates.
Platform Compatibility and Performance
The program operates across various platforms including Windows, MacOS, and Linux, ensuring broad accessibility. Updates are regularly released to enhance functionality, fix bugs, and incorporate user feedback.
Summary
JASP represents a significant advancement in user-centric statistical analysis tools, emphasizing simplicity without sacrificing analytical depth. Its dual support for classical and Bayesian methods under a cohesive graphical interface makes it suitable for academic, professional, or instructional purposes. By integrating state-of-the-art features geared toward clarity and reproducibility, JASP continues to be a valuable resource in the scientific community.
Overview
jasp is a Open Source software in the category Business developed by Jasper Keuper ([email protected]).
The users of our client application UpdateStar have checked jasp for updates 31 times during the last month.
The latest version of jasp is 0.18.3, released on 01/04/2025. It was initially added to our database on 06/17/2008. The most prevalent version is 0.18.3, which is used by 100% of all installations.
jasp runs on the following operating systems: Windows.
jasp has not been rated by our users yet.
Pros
- Jasp is a software application developed by Jasper Keuper, available through GitHub and Python Package Index (PyPI).
- It is designed to facilitate specific tasks in data analysis or visualization, as indicated by its presence on technical platforms.
Cons
- The official links to GitHub, PyPI, and the README are currently inaccessible or broken, making it difficult to verify detailed information about the product.
- Limited accessible information about features, usability, and support due to website/API inaccessibility.
- Potential issues with documentation or community support given the broken links and lack of alternative references.
FAQ
What is JASP by Jasper Keuper?
JASP by Jasper Keuper is a software related to the Python package 'jasp', which is used for statistical analysis and Bayesian methods.
Where can I find the documentation for JASP?
The documentation for JASP was intended to be available at jasp.readthedocs.io, but the site may no longer be accessible or the project may have been removed.
Is JASP available for download or installation?
Information about downloading or installing JASP from a package manager like PyPI was intended to be on the PyPI page, but access to it might be limited.
How can I get support or help regarding JASP?
Support options include contacting support through GitHub or checking GitHub status, but specific support links were not fully accessible.
What are common issues faced when trying to access JASP resources online?
Common issues include network problems, browser extension conflicts, or site removal, leading to difficulty accessing documentation or project pages.
Is JASP actively maintained and updated?
There is no recent information confirming active maintenance or updates, especially since documentation URLs are not accessible.
How do I report bugs or contribute to JASP?
Normally, contributions or bug reports would go through GitHub, but specific repository details are not clearly available at this time.
What features does JASP offer for statistical analysis?
Specific features are not detailed in the available information; typically, JASP provides statistical and Bayesian analysis tools.
Can I use JASP with other Python packages or tools?
This depends on the package's compatibility and integration capabilities; details are not specified in the current resources.
Are there any alternatives to JASP for Bayesian statistical analysis?
Yes, there are other tools like JASP (the software), R packages, and Python libraries used for Bayesian analysis, but specific alternatives are outside the scope of this information.

Boris Weber
I am an editor at UpdateStar. I started as a support engineer, and am now specialized in writing about general software topics from a usability and performance angle among others. I telecommute from UpdateStar’s Berlin office, when I am not working remote as a digital nomad for UpdateStar. When I'm not analyzing the latest software updates, you can find me exploring new cities, immersing myself in local cultures, and discovering innovative tech trends across the globe.
Latest Reviews by Boris Weber
- Native Instruments Una Corda: A Unique Sample Library for Soft Piano Tones
- Ravage Lite: A Lightweight Audio Enhancement App
- ResultFinder: A Promising Tool for Efficient Search Results
- Kingshiper Screen Mirroring: A Useful Tool with Limited Online Information
- Cursor: Revolutionizing Coding Efficiency with AI
Installations
Latest Reviews
![]() |
Intel(R) Dynamic Tuning Technology
Intel's Dynamic Tuning Technology Optimizes Performance and Efficiency |
Native Instruments Una Corda
Native Instruments Una Corda: A Unique Sample Library for Soft Piano Tones |
|
Hybrid Mark Knight Expansion
Hybrid Mark Knight Expansion by AIR Music Tech GmbH Review |
|
Helper-Equalizer
Helper-Equalizer: Versatile Audio Tool for Custom Sound Tuning |
|
Helper-Saturator
Helper-Saturator: A Promising Tool for Saturation Enhancement |
|
Ravage Lite
Ravage Lite: A Lightweight Audio Enhancement App |
![]() |
UpdateStar Premium Edition
Keeping Your Software Updated Has Never Been Easier with UpdateStar Premium Edition! |
![]() |
Microsoft Edge
A New Standard in Web Browsing |
![]() |
Google Chrome
Fast and Versatile Web Browser |
![]() |
Microsoft Visual C++ 2015 Redistributable Package
Boost your system performance with Microsoft Visual C++ 2015 Redistributable Package! |
![]() |
Microsoft Visual C++ 2010 Redistributable
Essential Component for Running Visual C++ Applications |
![]() |
Microsoft OneDrive
Streamline Your File Management with Microsoft OneDrive |