Metadata-Version: 2.1
Name: saspt
Version: 0.2.0
Summary: State arrays for single particle tracking
Home-page: https://github.com/alecheckert/saspt
Author: Alec Heckert
Author-email: alecheckert@gmail.com
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: pandas
Requires-Dist: matplotlib
Requires-Dist: seaborn
Requires-Dist: tqdm
Requires-Dist: dask

# saspt

<img src="https://github.com/alecheckert/saspt/blob/main/doc/_static/logo.png" alt="alt text" width="300">

`saspt` is a tool for analyzing single particle tracking (SPT) experiments. It relies on *state arrays*, a class of variational Bayesian models that identifies
diffusing subpopulations in the presence of large measurement error.
It is particularly useful for complex samples with many subpopulations with distinct
dynamics.

See the [Documentation](https://saspt.readthedocs.io/en/latest/) for more info. 



