Difference between revisions of "Tool adaptation for developers"

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'''Tool adaptation for developers''' provide ways for developers to expand existing self-research tools, e.g. through expanding existing tools or integrating different software or hardware devices.
 
 
 
 
 
 
 
 
 
 
 
 
https://datavizcatalogue.com/index.html Suggests charts based on needs and has a list to peruse.
 
 
 
https://old.reddit.com/r/QuantifiedSelf/search/?q=XPOST&include_over_18=on&restrict_sr=on&t=all&sort=top popular QS viz off dataisbeautiful
 
 
 
https://cran.r-project.org/web/packages/ggraptR/vignettes/ggraptR.html interactively design viz or explore your data.
 
 
 
interactive, specifically for time series https://paulvanderlaken.com/2017/08/10/r-resources-cheatsheets-tutorials-books/#advanced http://rstudio.github.io/dygraphs/ https://daattali.com/shiny/timevis-demo/
 
 
 
https://awesome.cube.dev/ lots of viz tools
 
 
 
https://annofoneblog.wordpress.com/2021/11/09/finding-patterns-in-my-days-a-visual-exploration-of-my-oura-data%ef%bf%bc/ nice viz
 
  
 
https://old.reddit.com/r/WearOS/wiki/index https://old.reddit.com/r/AndroidWear/ modify the underlying operating system of wearables.
 
https://old.reddit.com/r/WearOS/wiki/index https://old.reddit.com/r/AndroidWear/ modify the underlying operating system of wearables.
  
 
https://old.reddit.com/r/homeassistant/top/ home gadget help
 
https://old.reddit.com/r/homeassistant/top/ home gadget help
 
<nowiki>https://orange3-timeseries.readthedocs.io/en/latest/</nowiki> python viz programming
 
 
https://biomindmap.com/nodes/620 what affects what
 
  
 
https://github.com/ran88dom99/QS-data-flow-network-graph data accessibility and directories and standards  
 
https://github.com/ran88dom99/QS-data-flow-network-graph data accessibility and directories and standards  
 
biohackstack.com list a user's tools and interventions
 
  
 
https://old.reddit.com/r/QuantifiedSelf/comments/fuagyz/start_here_directories_of_qs_resources/ A directory of directories. someplace to find more apps, devices and more. also https://tryterra.co/
 
https://old.reddit.com/r/QuantifiedSelf/comments/fuagyz/start_here_directories_of_qs_resources/ A directory of directories. someplace to find more apps, devices and more. also https://tryterra.co/
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http://media.nips.cc/Conferences/2013/Video/Oral1.pdf Old but some of the structure and transforms of data interesting. Even some analysis.   
 
http://media.nips.cc/Conferences/2013/Video/Oral1.pdf Old but some of the structure and transforms of data interesting. Even some analysis.   
  
https://old.reddit.com/r/QuantifiedSelf/comments/en2580/exhaustive_list_of_things_to_trackmeasure/ Decent list of all the things that could be tracked. 
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==OS aggregations to borrow integrations==
 
 
== OS aggregations to borrow integrations ==
 
  
  
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Golang:https://github.com/heedy/heedy
 
Golang:https://github.com/heedy/heedy
  
{{Tool Queries}}
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https://github.com/Freeyourgadget/Gadgetbridge/issues/49 graveyard of comeptitors
[[Category:Tools]]
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[[Category:Topics]][[Category:Data analysis]]

Latest revision as of 14:36, 21 September 2023

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Tool adaptation for developers provide ways for developers to expand existing self-research tools, e.g. through expanding existing tools or integrating different software or hardware devices.

https://old.reddit.com/r/WearOS/wiki/index https://old.reddit.com/r/AndroidWear/ modify the underlying operating system of wearables.

https://old.reddit.com/r/homeassistant/top/ home gadget help

https://github.com/ran88dom99/QS-data-flow-network-graph data accessibility and directories and standards

https://old.reddit.com/r/QuantifiedSelf/comments/fuagyz/start_here_directories_of_qs_resources/ A directory of directories. someplace to find more apps, devices and more. also https://tryterra.co/

http://media.nips.cc/Conferences/2013/Video/Oral1.pdf Old but some of the structure and transforms of data interesting. Even some analysis.

OS aggregations to borrow integrations[edit | edit source]

{A free and cloudless replacement for your gadget vendors' closed source Android applications. See the list for supported devices.} https://gadgetbridge.org

Human Programming Interface. by Karlicoss. Bag of life-logging parsers for python. https://github.com/karlicoss/HPI

https://cran.r-project.org/web/packages/wearables/index.html just empatica for now

https://github.com/tsubery/quantifier

https://github.com/onejgordon/flow-dashboard

https://github.com/markwk/qs_ledger

both java i think: http://fluxtream.com/

https://www.openmhealth.org/

Golang:https://github.com/heedy/heedy

https://github.com/Freeyourgadget/Gadgetbridge/issues/49 graveyard of comeptitors