Automatically installs Taskwarrior, Taskserver (TODO: and Timewarrior). This project aims to support automated installation of all Taskwarrior hook scripts, configuration flavours etc. with a single command.
GNU Affero General Public License v3.0
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Investigate added value of performance visualisation in plotly #58
Plotly allows for (user friendly), insightfull data visualisation. Investigate if/how this software can be used to grant taskwarrior users a better understanding of their points of (potential) improval, past performance, and planning capabilites.
A. Before you research implementing this, first check if it is possible to host your visualisations on both a private and public local server for free.
B. Before considering implementation, check whether it is simpler/faster to enhance/modify the existing taskwarrior tools, e.g. burndown and gHistory.
C. Before you implement anything, look at the available templates and determine if there exists one that visualises the data best, or use it as inspiration to determine how you want to visualise the data and build your own template.
The following options are considered:
Show the daily burndown
Show the daily gHistory
Show the difference between the estimated duration and actual duration
Show how many tasks were later than the deadline
Show which tasks were deleted
Show relations between task properties for the lists 3,4,5.
Plotly allows for (user friendly), insightfull data visualisation. Investigate if/how this software can be used to grant taskwarrior users a better understanding of their points of (potential) improval, past performance, and planning capabilites.
A. Before you research implementing this, first check if it is possible to host your visualisations on both a private and public local server for free.
B. Before considering implementation, check whether it is simpler/faster to enhance/modify the existing taskwarrior tools, e.g. burndown and gHistory.
C. Before you implement anything, look at the available templates and determine if there exists one that visualises the data best, or use it as inspiration to determine how you want to visualise the data and build your own template.
The following options are considered: