williambdean/latent-calendar
Analyze and model weekly calendar distributions using latent components
This helps you understand and predict recurring patterns in activities that happen throughout the week. You provide data points marked with their day and time, and it helps you see underlying weekly schedules or 'calendars' that drive these events. A data analyst, researcher, or anyone studying weekly behavioral trends would find this useful.
Available on PyPI.
Use this if you need to identify and model the distinct weekly rhythms present in your time-stamped activity data.
Not ideal if your data patterns are primarily driven by daily, monthly, or yearly cycles rather than weekly ones.
Stars
21
Forks
1
Language
Python
License
BSD-3-Clause
Category
Last pushed
Mar 09, 2026
Commits (30d)
0
Dependencies
5
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