Metadata-Version: 1.0
Name: thunder-python
Version: 0.5.1
Summary: Large-scale neural data analysis in Spark
Home-page: https://github.com/thunder-project/thunder
Author: The Freeman Lab
Author-email: the.freeman.lab@gmail.com
License: UNKNOWN
Description: .. figure:: https://travis-ci.org/thunder-project/thunder.png
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           :target: https://travis-ci.org/thunder-project/thunder
        
        Thunder
        =======
        
        Large-scale neural data analysis with Spark
        
        About
        -----
        
        Thunder is a library for analyzing large-scale spatial and temopral neural data. It's fast to run, easy to extend, and designed for interactivity. It is built on Spark, a new framework for cluster computing.
        
        Thunder includes utilties for loading and saving different formats, classes for working with distributed spatial and temporal data, and modular functions for time series analysis, factorization, and model fitting. Analyses can easily be scripted or combined. It is written against Spark's Python API (Pyspark), making use of scipy, numpy, and scikit-learn.
        
        To learn more, follow these links to the primary documentation:
        
        - `Project page`_ 
        - `Documentation`_ 
        - `Github repo`_
        - `Gitter chatroom`_
        - `Mailing list`_
        
        .. _Gitter chatroom: https://gitter.im/thunder-project/thunder
        .. _Mailing list: https://groups.google.com/forum/?hl=en#!forum/thunder-user
        .. _Github repo: http://github.com/thunder-project/thunder
        .. _Project page: http://thunder-project.org
        .. _Documentation: http://thunder-project.org/thunder/docs
        
Platform: UNKNOWN
