https://github.com/chartbeat-labs/analyzecal

Analyze Google Calendar Data
https://github.com/chartbeat-labs/analyzecal

Last synced: about 2 months ago
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Analyze Google Calendar Data

• Host: GitHub
• URL: https://github.com/chartbeat-labs/analyzecal
• Owner: chartbeat-labs
• License: apache-2.0
• Created: 2012-10-31T19:54:51.000Z (about 12 years ago)
• Default Branch: master
• Last Pushed: 2012-11-06T15:23:49.000Z (about 12 years ago)
• Last Synced: 2024-10-19T03:18:01.007Z (2 months ago)
• Language: Python
• Homepage: http://analyzecal.appspot.com/
• Size: 423 KB
• Stars: 4
• Watchers: 16
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
Introduction

============

Explorations of what can be pulled out of the GCalendar API for

statistical purposes. Preferably using Google App Engine.

Tech Intro

==========

It is a pretty simple app that uses

[Google App Engine](https://developers.google.com/appengine/) and the

[Google APIs Client Library for Python](https://developers.google.com/api-client-library/python/start/get_started),

to OAuth readonly access to your Google calendar(s). It then presents

some simple stats about the chosen calendar, using

[Twitter Bootstrap](http://twitter.github.com/bootstrap/),

[jQuery](http://jquery.com/), and [Flot](http://www.flotcharts.org/).

Useful Links

============

* [Google API Explorer](http://code.google.com/apis/explorer/)

* [Using API Client with App Engine](https://developers.google.com/api-client-library/python/platforms/google_app_engine)

* [Flot API](https://github.com/flot/flot/blob/master/API.md)

* [Flot Examples](http://people.iola.dk/olau/flot/examples/)

* [Google App Engine Configuration](https://developers.google.com/appengine/docs/python/config/appconfig)