Thunder 🌩️

The Deep Learning framework based on Lightning.

Install

pip install thunder

Start experimenting

It's as simple as 1, 2, 3:

Create a config (e.g. base.config):

from myproject import MyDataset, MyModule
from lightning import Trainer
from torch.utils.data import DataLoader

# these 3 fields are required
train_data = DataLoader(MyDataset())
module = MyModule()
trainer = Trainer()

Build the experiment:

thunder build base.config /path/to/some/folder

Run it
```
thunder run /path/to/some/folder
```

Also, 2 and 3 can be combined into a single command:

thunder build-run base.config /path/to/some/folder

More advanced stuff

See our docs for a full list of neat things thunder🌩️ can do for you

Metadata

Release files for thunder 0.1.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for thunder 0.1.1
File	Size	Uploaded
thunder-0.1.1.tar.gz	27.9 kB	Nov 19, 2025	Details

Release files / thunder-0.1.1.tar.gz

Download URL	thunder-0.1.1.tar.gz
Size	27.9 kB
Tags	Source
SHA-256 checksum How to use checksums	`de633ee242f2f272ff664b3a711e1095aa6ed1901d1ad32b7fd0b2b35e444e54`
BLAKE2b-256 checksum How to use checksums	`8eea1d83420293a45b0b1b43c012b1093a560a063ef2872233d3874a004aaa06`
Upload date	Nov 19, 2025
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.1.0 CPython/3.13.7`