PyPond is a Python implementation of the JavaScript Pond timeseries library. At a very high level, both implementations offer classes and structures to collect, manipulate and transmit timeseries data. Time series transmission is done via a JSON-based wire format.
This implementation is available on GitHub and the API documentation is available at software.es.net (and alternately on RTD).
PyPond runs on python 2.7 and 3.3 through 3.6.
The main project site has extensive documentation on the various structures (Event, TimeRange, TimeSeries, etc) that both implementations use internally. There is no need to duplicate that conceptual documentation here since the python implementation follows the same API and uses the same structures.
The only real difference with pypond is that the method names have been changed to their obvious pythonic corollaries (obj.toString() becomes obj.to_string()) and any comparison methods named .is() in the JavaScript version have been renamed to .same() in pypond since is is a reserved word in python.
The tests can also be referred to as a fairly complete set of examples as well.