Skip to main content

Python implementation of the Pond JavaScript timeseries library (https://github.com/esnet/pond).

Project description

Documentation Status Build Status Coverage Status

PyPond - Python Pond timeseries library.

Overview

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 3.9.

Core Documentation

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pypond-0.5.2.tar.gz (70.0 kB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page