hackermath is queued for analysis. Crawling candidates and ranking them takes a few minutes. This page updates itself when the list exists — you can also come back later.
What is known so far comes from the other direction:
These projects were analysed and named hackermath among their alternatives. The relationship is not symmetric — how hackermath rates them is a separate judgement, made when hackermath is analysed in its own right.
calls hackermath “Use if you want an older MIT-licensed notebook intro to statistics and math for data science, accepting years without updates.”
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science