Manage large and heterogeneous data spaces on the file system.
Powerful, efficient trajectory analysis in scientific Python.
General simulation data file format.
Read and write archive-based trajectory formats
Simple workflow management for signac projects.
Geometry and visualization tools for collections of particles
Perform quaternion operations using NumPy arrays
Samples, parsers, and writers for formats used in the Glotzer Group.
Data visualization based on signac.
Machine learning fingerprints for particle environments
Fast sequential spherical harmonics calculation
Python reactive library
Dataset indexing and curation tool