Metadata-Version: 2.1
Name: nostalgia_chrome
Version: 0.0.8
Summary: Self tracking your online life!
Home-page: https://github.com/nostalgia-dev/nostalgia_chrome
Author: Pascal van Kooten
Author-email: kootenpv@gmail.com
License: MIT
Description: ## nostalgia_chrome [alpha]
        
        Cross-platform Chrome History Analysis
        
        [![PyPI](https://img.shields.io/pypi/v/nostalgia_chrome.svg?style=flat-square)](https://pypi.python.org/pypi/nostalgia_chrome/)
        [![PyPI](https://img.shields.io/pypi/pyversions/nostalgia_chrome.svg?style=flat-square)](https://pypi.python.org/pypi/nostalgia_chrome/)
        
        ### Self tracking
        
        There is a movement of self tracking. Monitoring pulse, heartbeat and so on. But the most important is not being tracked: our online behavior.
        
        Making sure we can self document, we need the following things.
        
        1. Chrome only keeps its history for [a max of 90 days](https://support.google.com/chrome/answer/95589), so we need to **start saving history**.
        
        2. We need to **collect** HTML data from the pages we visit and keep them cached.
        
        3. (Cleaning up) We need to **extract and analyze** data from the HTML, such as code snippets, links, microdata, images, events.. anything really.
        
        4. (Not started) Allow **plugins** per website for example. Extract trip date from airbnb page to connect to photos for example.
        
        ### Usage examples
        
        To come
        
        ### Installation
        
        1. For now, go to Extensions in Chrome, and "load unpacked". Open the `chromePlugin` in this folder.
        
        2. `pip install nostalgia_chrome`
        
        3. To test it out, run `nostalgia_chrome serve`. Look at the `boot_as_service` on how to run `nostalgia_chrome` as a service on boot.
        
        4. Make sure you do not lose history, run `nostalgia_chrome backup_history` every (at most) 90 days.
        
        ### Data overview
        
        Chrome history:
        - Referral data
        - Visit counts
        
        HTML (after adding analyzer)
        - DOM
        - code snippets
        - text
        - publication date
        - links
        - microdata
        - images
        - events
        
Platform: any
Classifier: Environment :: Console
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: Microsoft
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Unix
Classifier: Operating System :: POSIX
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Topic :: Software Development
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Utilities
Description-Content-Type: text/markdown
