active 2023-09-28 → 2023-12-09 (UTC)
Complete coverage26,549 / 26,549 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-08-25 (UTC)
Events
34
Pushes
13
Pull requests
0
Issues
16
Stars
2
Forks
0
Activity over time
Daily event counts in the loaded window
Line chart, 73 days from 2023-09-28 to 2023-12-09. Pushes: 13 total, peak 10 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 16 total, peak 6 in a day. Comments: 0 total, peak 0 in a day. Stars: 2 total, peak 2 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| MaxHuber88 | 29 | 13 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
- Issue#14MaxHuber882023-12-09 02:25Improve the aesthetics of the frontend
- Issue#8MaxHuber882023-12-09 02:24Add prediction trigger from frontend get request
- Issue#9MaxHuber882023-12-09 02:24Pull prediction back to the frontend
- Issue#5MaxHuber882023-12-09 02:23Fix the frontend image upload
- Issue#7MaxHuber882023-12-09 02:23Clean up the notebook and python files
- Issue#12MaxHuber882023-12-03 22:00Test the entire use flow
- Issue#7MaxHuber882023-12-03 21:56Clean up the notebook and python files
- Issue#4MaxHuber882023-12-03 21:55Make a clean python notebook for model training/saving/loading
- Issue#6MaxHuber882023-12-03 21:53Make a script for loading model and returning a prediction
- Issue#1MaxHuber882023-12-03 21:53Read the guide
- Issue#3MaxHuber882023-12-03 21:53Break all the definitions out into python scripts
- Issue#5MaxHuber882023-10-01 18:39Test expo launch with backend
- Issue#4MaxHuber882023-10-01 18:37Make a clean python notebook for model training/saving/loading
- Issue#3MaxHuber882023-10-01 18:33Break all the definitions out into python scripts
- Issue#2MaxHuber882023-10-01 18:32Find better data
- Issue#1MaxHuber882023-10-01 18:32Read the guide
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 2 stars here means stars gained during the window, not the repo's star count.