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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
4. Pie and area charts are displayed in the app
My app is open source and available on GitHub[1] for any Android developer to compile for themselves, but if there's enough interest I can also get around to packaging it up for the Play Store/F-Droid/etc.
[1]: https://github.com/artnc/chronofile
This looks similar to how I believe Nomie logs data behind the scenes. But it looks for keywords on the line and transforms them into data e.g. "Today I #walked(4)" gets coded in JSON as { walked: 4}.
https://github.com/open-nomie/nomie5
I built a real-time personal dashboard for my life which primarily relies on lazy tracking (requiring little to no manual data entry from me) - https://github.com/Andreilys/personal_dashboard
I do journal as well, using vimwiki (Where I implemented some simple tagging for things like happiness/productivity/stress/etc. ratings from 1-10).
However one of the side projects I'd like to work on at some point is a mood recognition project using a camera that I can put beside my door. To basically record my mood whenever I enter/leave my home.
I've been tracking my daily activities in detail for 5 years now and I greatly appreciate the insights it provides into my own behavior and health. I love reading these kinds of articles to see that I'm not alone in this particular obsession and also for tips on how other people do it.
For my system I have repurposed Org Mode's clocking feature and run a dedicated Emacs instance in a terminal window. I then have a bunch of R scripts for visualizations: https://github.com/he-sk/timelog
The main disadvantage is that I need to enter activities manually when I have been away from the computer. I just save notes in my smartphone but it's a bit annoying.