I Lost 6 Hours of Training Because Colab Crashed. So I Built This.

shivvvvv — Sun, 03 May 2026 13:58:15 +0000

Last month I was processing 80,000 images for my project.
Colab dropped at 71,000.
I stared at the screen. Then restarted from zero. Third time that week.
I was so frustrated I stopped working for that day.
Then I built loopz.
python@loopz.track("my_job", save_every=100)
def process(image_path):
do_work(image_path)

process(all_images)

crash? just run again → resumes from exactly where it stopped ✅

That's the entire code change. Nothing else.
It saves your model weights, optimizer, random state — everything. Automatically.

*pip install loopz
*
GitHub → https://github.com/Shiv0087/loopz

If you ever lost hours to a crash, this is for you.

Stop Losing Python Progress After Crashes (Simple Solution)

shivvvvv — Sun, 19 Apr 2026 06:52:21 +0000

If you run long Python jobs, you’ve probably faced this:

script crashes
session disconnects
everything is lost

Restarting from zero is frustrating.

I built a small library to solve this:

pip install loopz

It automatically checkpoints loop progress and resumes after a crash.

Works well for:

ML training
data pipelines
scraping

Simple idea, but very useful in practice.

DEV Community: shivvvvv

I Lost 6 Hours of Training Because Colab Crashed. So I Built This.

crash? just run again → resumes from exactly where it stopped ✅

Stop Losing Python Progress After Crashes (Simple Solution)