Plot graphs from arbtt-stats
MIT License
Note: Requires arbtt-stats
version 0.9, since it has for-each=minute
, which is required for the barcode chart to work.
I love arbtt. Just remember to add arbtt-capture
to your startup applications and let it record active windows in the background. Then you can use arbtt-stats
to categorize recorded data. For example, running arbtt-stats
with the included categorize.cfg
file:
$ arbtt-stats --categorizefile=./categorize.cfg -c Graph
Statistics for category "Graph"
===============================
________________Tag_|_________Time_|_Percentage_
Graph:social | 10d01h18m00s | 11.23
Graph:mail | 9d04h08m00s | 10.25
Graph:read-pdf | 6d23h17m00s | 7.79
Graph:term | 6d17h47m00s | 7.53
Graph:irc | 2d16h47m00s | 3.02
Graph:tv-local | 2d08h28m00s | 2.63
Graph:communities | 2d05h19m00s | 2.48
Graph:write | 1d17h06m00s | 1.91
(9 entries omitted) | 3d15h44m00s | 4.08
(unmatched time) | 43d22h02m00s | 49.07
It is pretty cool. But you would agree that colored graphs are much more striking than a plain ascii table? So taking a few ideas from karpathy's ulogme, I wrote this tool to plot my daily stats as logged by arbtt-capture
.
arbtt
. Run arbtt-capture
at startup.categorize.cfg
file. Add similar categories to your categorize.cfg
file. (Usually at ~/.arbtt/categorize.cfg
).update
.render/settings.js
for barcode categories.update
once../arbtt-serve.py
(or python3 arbtt-serve.py
) and go to the displayed address. (Default: <http://localhost:9999
>)All html/js UI is inside the render
folder. Also no information other than the percentage usage is inside the json
files, so you can even make the plots public for extra extrinsic motivation. 😄
Suggestions and pull requests are always welcome.
arbtt
and numerous suggestions.ulogme
.Happy tracking!