The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning. Learn more →
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qs_ledger reviews and mentions
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Can you get raw data out of a Fitbit for manual analysis?
Here is a really really cool project that imports data from many sources and creates a personal database. https://github.com/markwk/qs_ledger
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Beginner ambitions
https://github.com/markwk/qs_ledger/blob/master/example_correlation_explorer_with_plotly.py so just linear correlation? and Anaconda again oh my
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Suggestions for logging miles on running shoes
Are you more interested in tracking the depreciation of the shoes, or your running habits? If it's the latter I'd point you to projects like qs_ledger.
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Looking for devs and knowledgeable health people for open source quantification !
I'd be interested. I'm working on my own thing similarly based mostly on https://github.com/markwk/qs_ledger.
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A note from our sponsor - WorkOS
workos.com | 24 Apr 2024
Stats
markwk/qs_ledger is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of qs_ledger is Jupyter Notebook.
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