mldsqc / alicerun

How to mix TODO lists, tracking work sessions, habit and mood tracking, computer and smartphone tracking, CBT techniques, analyze them and build recommendation system for task prioritization and balanced life

Date Created 2022-11-09 (2 years ago)

Commits 32 (last one 2 years ago)

Stargazers 33 (0 this week)

Watchers 3 (0 this week)

Forks 4

License apache-2.0

Ranking

RepositoryStats indexes 633,911 repositories, of these mldsqc/alicerun is ranked #586,360 (8th percentile) for total stargazers, and #418,592 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #118,166/129,643.

mldsqc/alicerun is also tagged with popular topics, for these it's ranked: machine-learning (#7,984/8417), dashboard (#937/976), productivity (#673/708), streamlit (#380/446)

Other Information

mldsqc/alicerun has 1 open pull request on Github, 0 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there is 1 open issue and 0 closed issues.

All Topics

plotly dashboard streamlit productivity habit-tracking quantified-self self-motivation task-management emotion-tracking machine-learning streamlit-dashboard personal-productivity

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Recent Commit History

32 commits on the default branch (main) since jan '22

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The primary language is Python but there's also others...

updated: 2025-03-27 @ 06:23pm, id: 563840595 / R_kgDOIZuGUw