ModelVision
Framework-agnostic neural network architecture visualizer. Renders publication-quality, fully styleable diagrams for models built in PyTorch, TensorFlow/Keras, JAX/Flax, JAX/Haiku, Hugging Face Transformers, scikit-learn, and ONNX — without running a forward pass.
Status: early development (Week 0 foundations landing; M1 next). See
PRD_ModelVision.mdfor the full spec.
Install
uv add modelvision # core only
uv add "modelvision[torch]" # per-framework extras
uv add "modelvision[all]" # everything
Quick start
import torchvision.models as models
import modelvision as mvision
model = models.vgg16()
mvision.render(
model,
output="vgg16.svg",
theme="dark",
layer_palette={
"Conv2d": "#4a90d9",
"ReLU": "#27ae60",
"MaxPool2d": "#e67e22",
"Linear": "#9b59b6",
},
)
CLI
uvx modelvision model.py MyNet --output diagram.svg --theme dark
uvx modelvision model.onnx --output diagram.html
Development
git clone https://github.com/pianistprogrammer/ModelVision.git
cd modelvision
uv sync --all-extras --extra dev
uv run pytest
License
MIT
1 maintainer
Metadata
1 maintainer
Release files for modelvision 0.1.0
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Total release size: 381.5 kB
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