3 Free and Open-source Analysis Apps for macOS (Intel and Apple Silicon)

1- Bdash

Simple SQL Client for lightweight data analysis.

Simple SQL Client for lightweight data analysis.

Read about Bdash 's features, license, platforms, and more.

2- JASP

Open-source Statistics

JASP aims to be a complete statistical package for both Bayesian and Frequentist statistical methods, that is easy to use and familiar to users of SPSS

JASP is an easy-to-use statistical analysis software, Its the perfect choice for beginners and students. JASP has installable packages for Windows, MacOSX, and Linux. It can run on the cloud as well using RollApp which is a platform for running the desktop application in the cloud. In addition to JASP format *.jasp, JASP reads multiple data file formats including .sav, .txt, .csv, and .ods.

JASP was released as an open-source project under GPLv3.0 and it's supported by the University of Amsterdam, JASP team has released get started tutorial, while How to use JASP" is full of blog tutorials, videos and GIF images for JASP functionalities.

Read about JASP 's features, license, platforms, and more.

3- RStudio

integrated development environment (IDE) for R

RStudio is the integrated development environment (IDE) for R programming language, It was built to ease and automate the workflow of R with a user-friendly interface. Many people are not comfortable working with terminals, RStudio was built to make R easier for them. It has a built-in package manager, session manager, terminal panel, a history manager, logger, and environment manager, data viewer and of course code editor with syntax highlighting.

Read about RStudio 's features, license, platforms, and more.