https://github.com/ActivityWatch/aw-research

Tools to analyse and experiment with ActivityWatch data
https://github.com/ActivityWatch/aw-research

activitywatch data-analysis python quantified-self

Last synced: about 1 month ago
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Tools to analyse and experiment with ActivityWatch data

• Host: GitHub
• URL: https://github.com/ActivityWatch/aw-research
• Owner: ActivityWatch
• Created: 2017-06-24T19:03:49.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2024-06-25T09:11:46.000Z (6 months ago)
• Last Synced: 2024-10-30T00:54:47.394Z (about 1 month ago)
• Topics: activitywatch, data-analysis, python, quantified-self
• Language: Python
• Homepage:
• Size: 519 KB
• Stars: 26
• Watchers: 3
• Forks: 6
• Open Issues: 8
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

• awesome-starred - ActivityWatch/aw-research - Tools to analyse and experiment with ActivityWatch data (python)

README

        
aw-research

===========

[![Build Status](https://travis-ci.org/ActivityWatch/aw-research.svg?branch=master)](https://travis-ci.org/ActivityWatch/aw-research)

Tools to analyse and experiment with ActivityWatch data.

Some of the things developed here might become ActivityWatch features, and others are starting points for research as talked about in [this issue](https://github.com/ActivityWatch/activitywatch/issues/236).

## Usage

```

pipenv install

pipenv run python3 -m aw_research --help

```

To use some of the analysis methods you need to create some configuration files manually, see the `.example` files for how they should look.