https://github.com/ggiuffre/patterns

Track patterns in your day-to-day life.
https://github.com/ggiuffre/patterns

flutter lifestyle mobile statistics

Last synced: 7 days ago
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Track patterns in your day-to-day life.

• Host: GitHub
• URL: https://github.com/ggiuffre/patterns
• Owner: ggiuffre
• License: mit
• Created: 2021-04-07T22:55:21.000Z (almost 4 years ago)
• Default Branch: main
• Last Pushed: 2023-05-14T09:22:13.000Z (over 1 year ago)
• Last Synced: 2024-11-18T23:56:17.538Z (2 months ago)
• Topics: flutter, lifestyle, mobile, statistics
• Language: Dart
• Homepage: https://ggiuffre.github.io/patterns
• Size: 58.2 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# patterns

[![CI/CD](https://github.com/ggiuffre/patterns/actions/workflows/build-and-test.yml/badge.svg)](https://github.com/ggiuffre/patterns/actions/workflows/build-and-test.yml)

_Patterns_ is a cross-platform app that tracks patterns between habits/events in

your day-to-day life. The app tells you how your day-to-day habits and events

correlate with each other, so that you can better understand yourself.

Keep in mind that correlation does not imply causation!

As an example you could track the times when you work out, the quality

of your sleep, the food you eat, and events in your social life; with enough

data, the app might show that there is a correlation between workouts and you

sleeping well, or between two other event categories.

## Roadmap

I'm open-sourcing this project at an early stage: this app is probably **not

mature enough** to give you valuable insights yet. The similarity measure that

is used to compare series of events is not numerically stable, and might have

bugs.

Here's what the roadmap for this project looks like at the moment:

* Integrate the app with popular calendar apps, so that a user doesn't have to

  manually enter events.

* Allow to track _how_ events happen, first with a "categorical" score that

  each event can have (e.g. workouts could have an intensity that goes from 0

  to 5, instead of just happening or not happening -- which is the current

  "boolean" nature of events on the app), then with a "continuous" score.

* Add more ways to compare time series (more "similarity measures" as they're

  called in the source code) and possibly some totally different way of

  discovering patterns among events.

* Allow the app to be used in a non-authenticated mode.

* Add more ways to authenticate (with authentication providers, for example).

* Add end-to-end tests, as soon as Flutter's testing framework will be more

  stable.

* Provide the user with "ready-made" events about local weather, holidays,

  political events, or in general whatever might be potentially correlated

  with user events.

* Improve the look-and-feel of the app.

## Technologies involved

Patterns is a cross-platform app built with [Flutter](https://flutter.dev/).

It relies on the following third-party Flutter libraries:

* `firebase_auth` for authentication;

* `cloud_firestore`, `flutter_riverpod` and `shared_preferences` for state

  management;

* other dependencies (see `./pubspec.yaml`)

## Developing principles

This app is being developed with these principles in mind:

* free and open-source

* platform-independent

* keep it simple (think twice before adding a dependency, write idiomatic code,

  avoid stateful computation when possible)