RedaOps/ann-visualizer

Health v2 · maintenance only

Flags: no_releases archived

Adoption not part of the score

1248 stars · 218 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A Python library that generates presentable graph diagrams of Keras neural network architectures using Graphviz. It supports visualizing both artificial neural networks (ANNs) and convolutional neural networks (CNNs).

Use cases

• visualize keras neural network architecture as a diagram
• plot ann layers and connections for a report
• generate a graph of a cnn model structure
• create network diagrams for deep learning tutorials
• export keras model graph to a gv file

When to choose

• you use Keras Sequential models and want quick, publication-friendly architecture diagrams
• you need a lightweight pip-installable visualization without heavy dependencies beyond graphviz

When to avoid

• you need visualization of PyTorch, TensorFlow 2.x subclassed, or non-Keras models
• you need interactive or runtime training visualizations like TensorBoard
• you need actively maintained tooling - the last release was in 2020

Facets

library · maturity maintenance

data-visualization machine-learning deep-learning deep-learning data-visualization machine-learning python cross-platform keras graphviz neural-networks cnn model-visualization

Member repositories

For agents

markdown · JSON · MCP: product_card(name="RedaOps/ann-visualizer")