Analysis updated 2026-07-17 · repo last pushed 2016-09-09
See which client or project consumed the most time from your gtimelog data.
Explore an interactive dashboard of your work schedule broken down by activity.
Spot productivity trends across weeks and months at a glance.
| birdsarah/gtimelog-viz | krishnaik06/testforestfires | thewtex/als-user-meeting-2024 | |
|---|---|---|---|
| Stars | 7 | 6 | 9 |
| Language | Jupyter Notebook | Jupyter Notebook | Jupyter Notebook |
| Last pushed | 2016-09-09 | 2023-03-15 | 2024-08-13 |
| Maintenance | Dormant | Dormant | Stale |
| Setup difficulty | easy | easy | moderate |
| Complexity | 2/5 | 2/5 | 3/5 |
| Audience | general | vibe coder | researcher |
Figures from each repo's GitHub metadata at analysis time.
Requires an existing gtimelog log file plus the Bokeh and Pandas dependencies.
Turns gtimelog time-tracking logs into interactive charts and dashboards using Bokeh and Pandas.
Mainly Jupyter Notebook. The stack also includes Python, Bokeh, Pandas.
Dormant — no commits in 2+ years (last push 2016-09-09).
Setup difficulty is rated easy, with roughly 30min to a first successful run.
Mainly general.
This repo across BitVibe Labs
Verify against the repo before relying on details.