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JASP VS GraphPad Prism

Compare JASP VS GraphPad Prism and see what are their differences

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JASP logo JASP

JASP, a low fat alternative to SPSS, a delicious alternative to R.

GraphPad Prism logo GraphPad Prism

Overview. GraphPad Prism, available for both Windows and Mac computers, combines scientific graphing, comprehensive curve fitting (nonlinear regression), understandable statistics, and data organization.
  • JASP Landing page
    Landing page //
    2023-05-08
  • GraphPad Prism Landing page
    Landing page //
    2023-03-24

JASP videos

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Introducing JASP

More videos:

  • Review - Berkenalan dengan JASP: Software Analisis Data Gratis dan Lengkap
  • Review - Gusion Legend Skin Cosmic Gleam Review | Jasp GamIng

GraphPad Prism videos

+ Add

GraphPad Prism Tutorial 1 - Introducing Table Types

More videos:

  • Tutorial - ELISA Tutorial 6: How to Analyze ELISA Data with GraphPad Prism

Category Popularity

0-100% (relative to JASP and GraphPad Prism)

JASP

GraphPad Prism

Technical Computing
47 47%
Technical Computing
53% 53
Business & Commerce
58 58%
Business & Commerce
42% 42
Development
100 100%
Development
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100

User comments

Share your experience with using JASP and GraphPad Prism. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare JASP and GraphPad Prism

JASP Reviews

Free statistics software for Macintosh computers (Macs)
JASP and Jamovi share lightning-fast speed; a wide range of statistics, with extra plugins on Jamovi; and easy installation on Macs, Windows, and Linux. Their basic interface has an Office 365-style open/save/print/export tab; options on the left, output on the right layout; instant changes to the output if you change the input; and export of both data and output, as...
Source: www.macstats.org
10 Best Free and Open Source Statistical Analysis Software
Jeffreys’s Amazing Statistics Program (JASP) came into existence as a free and open source alternative to SPSS with powerful Bayesian analyses as its core feature. It has a user-friendly interface. Results are annotated with descriptive text to make analysis easy.
Source: www.goodfirms.co
25 Best Statistical Analysis Software
This versatile, free, and open-source statistical software is specifically designed to cater to the needs of researchers and students. With its user-friendly interface, JASP makes data analysis and visualization more accessible and efficient.
Source: www.scijournal.org

GraphPad Prism Reviews

25 Best Statistical Analysis Software
GraphPad Prism is a powerful statistical software package specifically tailored for scientific research purposes. This is an excellent choice for those seeking to perform statistical analysis, nonlinear regression, graphing, and data visualization with ease.
Source: www.scijournal.org

Social recommendations and mentions

Based on our record, JASP seems to be more popular. It has been mentiond 14 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

JASP mentions (14)

  • Introduction to Modern Statistics
    Anyone looking to apply and compare frequentist and bayesian methods within a unified GUI (which is essentially an elegant wrapper to R and selected/custom statistical packages), should check out JASP developed by the University of Amsterdam [0]. It's free to use, and the graphs + captions generated on each step are of publication quality out of the box. Using it truly feels like a 'fresh way' to do... - Source: Hacker News / 7 months ago
  • Can anyone share spss for macOS?
    Https://jasp-stats.org fully free. Its advisible to learn python, R or matlab for graduate school. Source: 10 months ago
  • Help with my analysis in spss. I have 5 independent (ordinal) variables. 1 Moderator and 1 dependent variable. How do I run a multiple regression in SPSS?
    Also for alternative software that are much easier to use take a look at JASP or jamovi (both are very similar); and as a bonus, neither of these two will require you to manually add product variables to your dataset. Source: 10 months ago
  • [D] Discussion: R, Python, or Excel best way to go?
    If you have no access to SPSS (or SAS, or JMP), then look into JASP (https://jasp-stats.org/). I've only just touched that. One thing I believe is that JASP (as well as JMP) will allow/block off tests and analyses depending on the nature of each column. This means that, for example, if you have groups A, ..., Z, the software will treat those as non-numbers, which can only be used as inputs for variables which... Source: about 1 year ago
  • [Q] Advice on JMP versus R
    If you're looking for a stop-gap Stats software while you learn R, try JASP. It's a free statistical analysis software which runs on R. Https://jasp-stats.org/. Source: about 1 year ago
View more

GraphPad Prism mentions (0)

We have not tracked any mentions of GraphPad Prism yet. Tracking of GraphPad Prism recommendations started around Mar 2021.

What are some alternatives?

When comparing JASP and GraphPad Prism, you can also consider the following products

jamovi - jamovi is a free and open statistical platform which is intuitive to use, and can provide the...

RStudio - RStudio™ is a new integrated development environment (IDE) for R.

Statista - The Statistics Portal for Market Data, Market Research and Market Studies

Stata - Stata is a software that combines hundreds of different statistical tools into one user interface. Everything from data management to statistical analysis to publication-quality graphics is supported by Stata. Read more about Stata.

IBM SPSS Statistics - IBM SPSS Statistics is software that provides detailed analysis of statistical data. The company behind the product practically needs no introduction, as it's been a staple of the technology industry for over 100 years.

PSPP - PSPP is a free software application for analysis of sampled data.

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