Brilliant vs JASP

Brilliant is an interactive STEM learning service with courses in math, coding, data science, science, technology, and AI. Learners work through problems, explore visual models, and receive immediate feedback. Most courses include Koji, a digital tutor that guides learners through reasoning step by step. Free accounts can access all courses but are limited to two lessons per day in sequence, see occasional ads, and receive only a limited Koji preview. Premium adds unlimited lessons and practice, the option to jump to any lesson, an ad-free experience, and full Koji access. Individual Premium is listed at $20 a year, billed as one payment and renewed annually; Family Premium is $40 a year, also billed as one payment and renewed annually, with six seats included. Eligible K–12 teachers and their students may receive free Premium through an application-reviewed educator program. That program supports Google Classroom roster syncing and lesson sharing. Its reports show lesson completion, time spent, course progress, and completion dates, but not answer-level correctness or formal grades. Brilliant runs on Android, iOS, and web, and lessons require an internet connection and cannot be downloaded.

JASP is free desktop statistical software for Linux, macOS, and Windows, designed to run analyses through a graphical interface without programming. It offers standard procedures in both frequentist and Bayesian forms, with modules for descriptives, t-tests, ANOVA, regression, meta-analysis, machine learning, structural equation modeling, survival, and time series. The spreadsheet-style interface uses drag-and-drop controls, and results update as analysis options change. JASP produces APA-formatted output, including tables that can be copied into a word processor, and lets users annotate results. It is integrated with the Open Science Framework and can run without an internet connection. Import formats include CSV, TSV, text, SPSS, SAS, Excel, Stata, and R files, among others. JASP requires a 64-bit operating system, about 4 GB of free disk space, and at least 4 GB of RAM; 8 GB is recommended, with 16 GB or more suggested for large datasets. Android, iOS, and iPadOS devices are not supported. The software uses the GNU Affero GPL v3 license, and its download page says it will remain free.