STUMPY vs Grooper: What are the differences?

Developers describe STUMPY as "A Python library for time series data mining tasks". Efficiently computes something called the matrix profile, which can be used for a variety of time series data mining tasks. On the other hand, Grooper is detailed as "Innovate workflows by integrating difficult data". It empowers rapid innovation for organizations processing and integrating large quantities of difficult data. Created by a team of courageous developers frustrated by limitations in existing solutions, It is an intelligent document and digital data integration platform. It combines patented and sophisticated image processing, capture technology, machine learning, and natural language processing.

STUMPY belongs to "Big Data Tools" category of the tech stack, while Grooper can be primarily classified under "Data Science Tools".

STUMPY is an open source tool with 1.12K GitHub stars and 94 GitHub forks. Here's a link to STUMPY's open source repository on GitHub.