upgini
Data search & enrichment library for Machine Learning → Easily find and add relevant features to your ML & AI pipeline from hundreds of public and premium external data sources, including open & commercial LLMs
https://github.com/nixtla/tsfeatures
Calculates various features from time series data. Python implementation of the R package tsfeatures.
https://github.com/drprojects/point_geometric_features
Python wrapper around C++ utilities for computing neighbors and local geometric features of a point cloud
https://github.com/bartongroup/proteofav
Open-source framework for simple and fast integration of protein structure data with sequence annotations and genetic variation
explego
eXplego is a decision tree toolkit that provides developers with interactive guidance to help select an appropriate XAI-method for their particular use case.
rrlab
The RRLab R package is a growing collection of experimental techniques and quality-of-life tools born from years of hands-on data science, modeling, and exploration. Built as a personal lab bench in R, it reflects a constant search for better ways to understand high-dimensional data, test bold ideas, and streamline the grind of daily analysis.
https://github.com/berenslab/ephyspy
A Python package for electrophysiological feature extraction for patch-clamp experiments.