frogbox
Frogbox is an opinionated PyTorch machine learning framework built for rapid prototyping and research.
Features
- Experiments are defined using YAML or JSON files and support jinja2 templates.
- Flexible event system inspired by Ignite.
- Automatic experiment tracking. Currently, Weights & Biases and MLFlow are supported with other platforms planned.
- CLI tool for easy project management.
- Integrates Accelerate to support automatic mixed precision (AMP) and distributed training.
Installation
pip install frogbox
Getting started
See documentation.
1 maintainer
Metadata
1 maintainer
Release files for frogbox 0.7.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| frogbox-0.7.0.tar.gz | 26.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| frogbox-0.7.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 58.1 kB
Release files / frogbox-0.7.0.tar.gz
| Download URL | frogbox-0.7.0.tar.gz |
|---|---|
| Size | 26.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
996c3e1fb35063cca04c9f18bb515ff3fd1b9df423f7e3242356af238c46b9cc
|
|
BLAKE2b-256 checksum How to use checksums |
9258b5750fedcbe654faf8e7367b1e23cb7c110f63f669113cb4002a77f5cc1b
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 12, 2026.
Transparency logRelease files / frogbox-0.7.0-py3-none-any.whl
| Download URL | frogbox-0.7.0-py3-none-any.whl |
|---|---|
| Size | 31.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
0dc43d518fc29a92fcde39a76c8c267dabe74a6e048722dde763fe5006142cc8
|
|
BLAKE2b-256 checksum How to use checksums |
db3b82c9ff322aeb86153c793a3305c7a0429313336205887b16dcc7c87e85af
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 12, 2026.
Transparency log
