# zetane/viewer

ML models and internal tensors 3D visualizer

Repository: https://github.com/zetane/viewer
Canonical: https://ross.abutalabs.com/products/viewer
Language: Python
License Family: other
Last push: 2022-08-08T06:59:50+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 2023, "days_push": 1486, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1839, forks 168 (observed 2026-08-28T04:05:42.923254+00:00)

## What it is
Zetane Viewer is a free desktop application that visualizes machine learning models and their internal tensors in 3D, showing architecture, feature maps, weights, biases, and layer outputs. It supports ONNX and ZTN model files and can be launched from Python scripts or notebooks via a Python API.

## Use cases
- visualize neural network architecture in 3D
- inspect internal tensors, weights, and biases of an ML model
- open and explore ONNX model files
- debug feature maps and layer outputs of a deep learning model
- understand what happens inside an AI black box
- launch a model visualization workspace from a Python notebook

## When to choose
- you want a GUI to visually inspect a model's computational graph and tensors
- you work with ONNX models and need architecture-level introspection
- you teach or learn how neural networks process data internally

## When to avoid
- you need programmatic, automated model analysis rather than visual exploration
- you require an actively maintained tool with recent updates and a clear license
- you need visualization for frameworks not exportable to ONNX or ZTN formats

## Facets
- artifact type: application
- maturity: maintenance
- function: data-visualization, machine-learning, gui
- domain: machine-learning, deep-learning, data-visualization, developer-tools
- platform: windows, python
- tags: neural-network-visualization, onnx, tensor-inspection, model-interpretability, 3d-visualization, linux, macos

## Member repositories
- zetane/viewer (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:42.923254+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 2026-08-30T03:18:15.497638+00:00, confidence not recorded.
  - readme: https://github.com/zetane/viewer (fetched 2026-08-28T04:05:42.923254+00:00, sha 200436b62861)
- Data as of 2026-08-30T08:39:29.467469+00:00.