https://github.com/surister/wakapy

Wakatime data manipulation
https://github.com/surister/wakapy

Last synced: 8 days ago
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Wakatime data manipulation

• Host: GitHub
• URL: https://github.com/surister/wakapy
• Owner: surister
• License: mit
• Created: 2019-01-10T16:03:58.000Z (about 6 years ago)
• Default Branch: master
• Last Pushed: 2019-03-11T12:06:53.000Z (almost 6 years ago)
• Last Synced: 2024-10-12T03:23:03.025Z (4 months ago)
• Language: Python
• Homepage:
• Size: 154 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.rst
  • License: LICENSE.md

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README

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

Introduction

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

Wakapy is a python library aiming for Python 3.6+ versions whose purpose

is to provide easy data manipulation to the developer.

.. note:: 1. This project is not related to `WakaTime `_ or its developer team in any way.

          2. This project revolves around the json file that you can download from your **Wakatime account**

Wakapy basically loads the **big** json file containing all of your data provided for free by WakaTime and

group every piece of data in convenient classes. The Wakatime json file is big, a 161 days file, where only 121 days actually

contain relevant data is roughly 75k long (in my case).

Wakapy features:

----------------

1. **Extensive data class containerization**

(Every bit of data from the json file is accessible with the library).

2. **Extra functionalities** added to ease

the data manipulation.

3. **Date slicing**, in other words, you can get the data from a chosen  range,

similar to the Wakatime *paid features*

4. Some nice **charts** out of the box for the people who just want to

get a quick insight of the data without putting too much effort

on it

Quick example:

--------------

Code: ::

    from wakapy import User

    user = User('/home/surister/data.json')

    chart = user.pie_chart('lan')

    # lan = languages. See the different options here.

    chart.show()

    # Shows the chart.

    chart.save('/home/surister/mychart.png')

    # Saves the chart to the desired filepath.

This would output:

.. image:: /docs/source/_static/example1.png