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BlueSky Statistics VS jamovi

Compare BlueSky Statistics VS jamovi and see what are their differences

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BlueSky Statistics logo BlueSky Statistics

BlueSky Statistics is a fully featured statistics application and development framework built on...

jamovi logo jamovi

jamovi is a free and open statistical platform which is intuitive to use, and can provide the...
  • BlueSky Statistics Homepage
    Homepage //
    2024-07-06
  • jamovi Landing page
    Landing page //
    2022-11-03

BlueSky Statistics features and specs

  • User-friendly Interface
    BlueSky Statistics offers a visually intuitive interface that is easy to navigate, making it accessible for users without extensive statistical software experience.
  • Integration with R
    The software seamlessly integrates with R, allowing users to execute R commands directly and benefit from the extensive R package ecosystem.
  • Comprehensive Data Analysis
    BlueSky Statistics provides a wide range of statistical analyses and graphical tools, catering to both basic and advanced data analytic needs.
  • Extensive Documentation
    The platform comes with comprehensive documentation and tutorials that help users understand and utilize various functionalities efficiently.
  • Cross-Platform Compatibility
    Available for both Windows and MacOS, ensuring that users can used the software on multiple operating systems.

Possible disadvantages of BlueSky Statistics

  • Limited Free Version
    The free version of BlueSky Statistics has limited features compared to the paid version, which may inhibit its use for complex projects.
  • Learning Curve
    Despite its user-friendly interface, there can be a steep learning curve for users unfamiliar with statistical software or R programming.
  • Performance Issues
    Occasional performance issues have been reported, particularly with large datasets, which can slow down the analytical process.
  • Pricing
    The full-featured software is relatively expensive, which might be prohibitive for individual users or small organizations.

jamovi features and specs

  • User-friendly interface
    jamovi features a clean, intuitive interface that is easy to navigate, making it accessible for users with varying levels of statistical expertise.
  • Free and open-source
    jamovi is completely free and open-source, which allows users to download, use, and modify the software without any cost.
  • Integration with R
    jamovi has built-in support for R, enabling users to run R scripts and use R packages directly within the software, providing additional flexibility and functionality.
  • Regular updates
    The development team frequently releases updates to improve functionality, fix bugs, and add new features, ensuring that the software stays current and reliable.
  • Comprehensive features
    jamovi offers a wide range of statistical analyses and graphical options, catering to both basic and advanced user needs.

Possible disadvantages of jamovi

  • Limited advanced features
    While jamovi covers most basic and intermediate statistical methods, it may lack some of the more advanced statistical techniques found in other specialized software.
  • Performance issues
    Occasionally, users may experience performance issues, such as slow processing times or software crashes, especially with very large datasets.
  • Learning curve for R integration
    Although integration with R is a pro, it can also be a con, as it may require additional learning for users who are not already familiar with R programming.
  • Less established than competitors
    Compared to other statistical software like SPSS or SAS, jamovi is relatively new and may not have as extensive a user base or as many community resources.
  • Limited customer support
    As an open-source project, jamovi relies primarily on community support and forums, which may not be as responsive or comprehensive as dedicated customer support services.

BlueSky Statistics videos

+ Add

Introduction to BlueSky Statistics

More videos:

  • Review - Webinar recording - machine learning made easy with BlueSky Statistics

jamovi videos

+ Add

jamovi for Data Analysis - Full Tutorial

More videos:

  • Tutorial - PSYS 241: JAMOVI Tutorial 7 - Review
  • Review - Reliability analysis — jamovi
  • Tutorial - JAMOVI 📊. Un robusto software libre de estadística (🔥 2.3 ya en español)
  • Tutorial - Estadística descriptiva con Jamovi 📊 - Tutorial

Category Popularity

0-100% (relative to BlueSky Statistics and jamovi)

BlueSky Statistics

jamovi

Business & Commerce
38 38%
Business & Commerce
62% 62
Technical Computing
38 38%
Technical Computing
62% 62
Development
38 38%
Development
62% 62
Data Science And Machine Learning
31 31%
Data Science And Machine Learning
69% 69

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare BlueSky Statistics and jamovi

BlueSky Statistics Reviews

  1. Anil
    · Marketting at IBM ·
    Finally found a SPSS like interface to R

    I found it easy to transition to R and perform powerful analysis quickly. Additionally the rich GUI automate 90% of my data processing needs eliminating the need to write 100s of lines of R code. This is truly an analytics workbench

    🏁 Competitors: IBM SPSS Statistics
    👍 Pros:    Quick and easy|Learn r
  2. ara063
    · Director at iManage ·
    Successfully migrated from SPSS

    After years of using SPSS, we finally made the transition to BlueSky Statistics, we really appreciate the support from the BlueSky Statistics team. The features and functionality in BlueSky Statistics are comprehensive, we had to do a couple of rounds of training, but now that the migration is complete we are satisfied customers.

    👍 Pros:    Intuitive user interface|Code|R

jamovi Reviews

  1. Bob Muenchen
    · Retired statistician at University of Tennessee ·
    Beautiful User Interface

    jamovi has one of the most attractive user interfaces. Even the colors used for window-dressing match the default colors for its graphs. Like JASP, its dialogs provide instant results as each item is checked off. That immediate feedback feels great! Corrections to data values are also immediately reflected in each piece of output that would be affected. However, this also means that you can't do one step, restructure the data, then do another since jamovi requires each step to have the same data structure. SPSS, Minitab, BlueSky Statistics, and JMP can all do such common data-wrangling tasks. So, if you restructure your data a lot, you'll need to do that with another tool and read the data in separately for each structure. jamovi's menus start out very sparse and you extend them by downloading needed parts later. This is the opposite of similar tools like SPSS, Minitab, and BlueSky Statistics, which show all their capabilities upon installation. That makes it good for beginners who avoid the others' complex menus. Regarding analytic methods, jamovi has the most popular statistics. The main topics it lacks are quality control and machine learning/AI. Also, it cannot save models for making predictions on a different dataset.

    👍 Pros:    Ui is very attractive|Feedbacks
    👎 Cons:    Limited features
Free statistics software for Macintosh computers (Macs)
Other notes. Developer Jonathon Love pointed us to the Jamovi library of extra procedures. A long, well-illustrated Jamovi blog post also goes over the fine graphics capabilities within Jamovi, which PSPP can only dream of. In our run-throughs, the numbers were identical to SPSS, PSPP, and JASP.
Source: www.macstats.org
10 Best Free and Open Source Statistical Analysis Software
Jamovi is a free and open source statistical software built on ‘R' language. Intuitive interface, quality spreadsheet, optimized analysis are the key reasons for its popularity. It performs all statistical tests with reliability and competence.
Source: www.goodfirms.co

What are some alternatives?

When comparing BlueSky Statistics and jamovi, you can also consider the following products

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

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

datarobot - Become an AI-Driven Enterprise with Automated Machine Learning

Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.

Montecarlito - MonteCarlito is a free Excel-add-in to do Monte-Carlo-simulations.

IBM ILOG CPLEX Optimization Studio - IBM ILOG CPLEX Optimization Studio is an easy-to-use, affordable data analytics solution for businesses of all sizes who want to optimize their operations.

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