These are my go-to libraries for Python data crunching.
If you use TOF-SIMS on a daily basis, you have likely encountered these situations. “I want to compare mass spectra of multiple samples side-by-side.” “I want to see the difference between spectra of ...
STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...
The fastest Python implementation of the ForceAtlas2 graph layout algorithm, with Cython optimization for 10-100x speedup. Supports NetworkX, igraph, and raw adjacency matrices. ForceAtlas2 is a force ...