# RedaOps/ann-visualizer

A python library for visualizing Artificial Neural Networks (ANN)

Repository: https://github.com/RedaOps/ann-visualizer
Canonical: https://ross.abutalabs.com/products/ann-visualizer
Language: Python
License: MIT
License Family: permissive
Topics: ann, python-library, ann-visualizer, neural-network
Archived: true
Last push: 2020-10-16T16:57:02+00:00

## Health v2 (maintenance only)
Score: 10/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3081, "days_push": 2147, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, archived
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1248, forks 218 (observed 2026-08-28T04:04:07.710244+00:00)

## What it is
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
- artifact type: library
- maturity: maintenance
- function: data-visualization, machine-learning, deep-learning
- domain: deep-learning, data-visualization, machine-learning
- platform: python, cross-platform
- tags: keras, graphviz, neural-networks, cnn, model-visualization

## Member repositories
- RedaOps/ann-visualizer (main) score 10

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:07.710244+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T05:07:50.216568+00:00, confidence not recorded.
  - readme: https://github.com/RedaOps/ann-visualizer (fetched 2026-08-28T04:04:07.710244+00:00, sha 36c9f3271170)
- Data as of 2026-08-30T08:39:29.467469+00:00.