Skip to main content

nostalgia enables to self-track and gain insights into your life

Project description

nostalgia

PyPI PyPI

Ecosystem for combining personal data

Nostalgia will help with gathering data from a variety of sources and enable you to combine them easily.

It's much like Home Assistant, providing a platform, but then for connecting data instead of IoT devices.

Afterwards, it will help you filter and visualize the data.

The architecture is as follows. You're looking at the core which contains the code for ingesting sources, installing the backend system and allows you to write scripts using Nostalgia Query Language.

If you want to add your own data that is not supported, please for now contact us directly in either discord or slack and we'll help you get started. You can also look at the open issues to see suggestions for new sources.

Available Data Bindings

Full list of current sources.

Getting started

  1. If you're a user: pip install nostalgia or... pip install -e . if you might want to develop on Nostalgia

  2. Follow the instructions for a source of interest to ensure it is loaded

  3. Use the data in an interactive session (run Python) OR run the timeline

  4. To upgrade Nostalgia, as user run pip install -U nostalgia or as developer run git pull.

Nostalgia Query Language - extending pandas

Given that you have payments, heartrate and google places set up, you could start Python and run:

In [15]: from nostalgia.sources.ing_banking.mijn_ing import Payments

payments = Payments.load()

payments.by_card\
        .last_year\
        .in_office_days\
        .during_hours(7, 12)\
        .by_me()\
        .heartrate_above(100)\
        .when_at("amsterdam")\
        .sum()

Out[15]: 7.65 # in euros

This will give the total expenses by card in the last week, but only on work days, at night, when my heart rate is above 80 and I'm in Amsterdam. It combined the generic class functionality, together with data from:

  • A Payments provider
  • A Location provider
  • A Heartrate provider

Contributing

Please contribute the data sources that others could use as well!

Download files

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

Files for nostalgia, version 0.1.67
Filename, size File type Python version Upload date Hashes
Filename, size nostalgia-0.1.67-py2.py3-none-any.whl (113.4 kB) File type Wheel Python version py2.py3 Upload date Hashes View
Filename, size nostalgia-0.1.67.tar.gz (313.7 kB) File type Source Python version None Upload date Hashes View

Supported by

Pingdom Pingdom Monitoring Google Google Object Storage and Download Analytics Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page