julvo/reloading
Change Python code while it's running without losing state observed · 2026-08-28
Health v2 · maintenance only
23/100
- Activity 0
- Release rhythm 8
- Longevity 100
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 2609
- days_rel: n/a
- days_push: 809
- n_releases_24m: 0
Adoption not part of the score
1127 stars · 33 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A small Python library that reloads the source code of loops or functions on each iteration or invocation without losing runtime state. It is primarily used to edit code while long-running deep learning training jobs are in progress.
Use cases
- edit training loop code without restarting a pytorch training run
- hot reload a python function while a long job is running
- add logging or statistics to a running training loop
- keep training state while changing model saving code
- create an endless loop whose body can be edited live
When to choose
- you run long deep learning training loops and want to tweak code mid-run
- you want live-editable loop bodies or functions with state preserved
When to avoid
- you need full module or web app hot reloading
- your loop is extremely tight and reload overhead matters
- you need to reload code outside loop bodies or decorated functions
Facets
library · maturity maintenance
developer-tools workflow-automation developer-tools deep-learning machine-learning python cross-platform hot-reload live-coding training-loops decorator pytorch keras
2 sources
- readme: https://github.com/julvo/reloading · fetched 2026-08-28 · f7d4b384495a
- registry_pypi: https://pypi.org/pypi/reloading/json · fetched 2026-08-29 · a1328ea84a8a
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| julvo/reloading | main | 23 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem