Add loopz to Job Scheduler section

[Shiv0087]

Checklist

• One link per Pull Request
• PR title format: Add loopz
• Entry format: * [loopz](url) - Description ending with period.

Why This Project

loopz auto-saves and resumes any Python loop from exactly
where it crashed — training jobs, dataset processing,
web scraping, downloads.

One decorator handles everything:

@loopz.track("training", save_every=1,
              state={"model": model, "optimizer": opt})
def train(epoch):
    run_one_epoch(model, loader, opt)

train(range(50))
# crash at 31? run again → resumes from 31 ✅

Saves PyTorch model/optimizer/scheduler/GradScaler,
numpy arrays, sklearn models, random seeds, and async
functions. Works on any platform.

pip install loopz

[Copilot]

Pull request overview

Adds the loopz project to the README’s Job Schedulers section to expand the curated list of scheduling-related Python tools.

Changes:

• Added a new README entry for loopz under “Job Schedulers”.

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[Copilot]

The items in this "Job Schedulers" list appear to be kept in alphabetical order (airflow, apscheduler, dagster, ...). To maintain that convention, loopz should be placed after dagster and before prefect.

Suggested change

	- [prefect](https://github.com/PrefectHQ/prefect) - A modern workflow orchestration framework that makes it easy to build, schedule and monitor robust data pipelines.
	- [schedule](https://github.com/dbader/schedule) - Python job scheduling for humans.
	- [SpiffWorkflow](https://github.com/sartography/SpiffWorkflow) - A powerful workflow engine implemented in pure Python.
	- [loopz](https://github.com/Shiv0087/loopz) - Auto-saves and resumes any Python loop from exactly where it crashed.
	- [loopz](https://github.com/Shiv0087/loopz) - Auto-saves and resumes any Python loop from exactly where it crashed.
	- [prefect](https://github.com/PrefectHQ/prefect) - A modern workflow orchestration framework that makes it easy to build, schedule and monitor robust data pipelines.
	- [schedule](https://github.com/dbader/schedule) - Python job scheduling for humans.
	- [SpiffWorkflow](https://github.com/sartography/SpiffWorkflow) - A powerful workflow engine implemented in pure Python.

[JinyangWang27]

@Shiv0087 Thanks for your submission. However, this project does not meet our acceptance criteria:

Repository age: The repository was created 1 week ago. We require a minimum of 3 months (or 6 months for Hidden Gem submissions) to ensure project stability.

GitHub stars: 3 stars (minimum 100 required, or strong justification for Hidden Gem).

Please see our CONTRIBUTING.md for full requirements. You're welcome to resubmit once the project has matured and gained community traction.