An Open-Source Platform for Quantified Self & IoT
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Note: Heedy is currently in alpha. You can try it out by downloading it from the releases page, but there is no guarantee that future versions will be backwards-compatible until full release.
A repository for your quantified-self data, and an extensible analysis engine.
There already exist many apps and fitness trackers that gather and attempt to make sense of your data. Most of these services are isolated - your phone's fitness tracking software knows nothing about your browser's time-tracking extension. Furthermore, each app and service has its own method for downloading data (if they offer raw data at all!), which makes an all-encompassing analysis of life extremely tedious. Heedy offers a self-hosted open-source way to put all of this data together into a single system.
Several existing aggregators already perform many of heedy's functions (see the list here). However, they are all missing one of two critical components:
The first screenshot is of sleep data uploaded by the fitbit plugin. The second is a jupyter notebook enabled by the notebook plugin. Heedy's visualization and analysis capabilities are a work in progress, so there is a lot more to come!
Heedy itself is very limited in scope. Most of its power comes from the plugins that allow you to integrate it with other services. Some plugins worth checking out:
Building heedy requires at least go 1.15 and a recent version of node and npm.
git clone https://github.com/heedy/heedy cd heedy make
git clone https://github.com/heedy/heedy cd heedy make debug
The debug version uses the assets from the
./assetsfolder instead of embedding in the executable.
To edit the frontend, you will want a debug build, and then run the following
This will watch all frontend files and rebuild them as they change, allowing you to edit them and see changes immediately by refreshing your browser.
You can see everything heedy does, including all SQL statements and raw http requests by running it in verbose mode: