Open-source IBM SPSS Statistics alternatives

Orange is a data mining and visualization toolbox aimed at both beginners and experienced analysts. Instead of writing code, users assemble analyses as workflows on a canvas, which hides the underlying mechanics and exposes intuitive concepts. The project's stated goal is that anyone who owns data should be able to explore it.

The toolbox covers interactive data visualization along with classic machine learning methods such as classification, regression, clustering, decision trees and random forests. It is written in Python on top of scikit-learn, NumPy, SciPy and pandas, and extra functionality is added through add-ons installed from the menu bar; developers can write their own widgets from an example template.

Windows and macOS users can download a standalone installer, while Linux users and developers can install with conda, pip or uv, and winget is available on Windows. The project is open source, welcomes new widgets and contributions, and has a community on Discord.

RStudio is an integrated development environment for the R programming language, developed by Posit. It gathers the tools needed for working in R into one customizable workbench that includes the console, terminal, source editor, plots, environment, history, help, files and packages panes.

The editor offers syntax highlighting and code completion, and code can be run straight from the editor by line, selection or file. RStudio supports writing reproducible documents and reports with Quarto and R Markdown, plus Sweave and TeX documents. Optional AI features include GitHub Copilot completions, Posit AI Pass Next Edit Suggestions and the Posit Assistant.

RStudio runs on Windows, Mac and Linux, with a community-maintained FreeBSD port. It can also be run as a server so that several users can open the IDE in a web browser. The README states that it is licensed under AGPLv3, and the source is written mostly in Java.