tensorspace-team/tensorspace
Neural network 3D visualization framework, build interactive and intuitive model in browsers, support pre-trained deep learning models from TensorFlow, Keras, TensorFlow.js observed · 2026-08-28
Health v2 · maintenance only
23/100
- Activity 0
- Release rhythm 8
- Longevity 100
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 2964
- days_rel: n/a
- days_push: 1367
- n_releases_24m: 0
Adoption not part of the score
5191 stars · 450 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
TensorSpace is a neural network 3D visualization framework built on TensorFlow.js, Three.js, and Tween.js. It provides Keras-like APIs to build deep learning layer topologies in the browser and render interactive 3D visualizations of pre-trained models from TensorFlow, Keras, and TensorFlow.js.
Use cases
- visualize a neural network model structure in 3D in the browser
- show intermediate layer outputs of a deep learning model interactively
- create an interactive LeNet or YOLOv2 visualization for teaching
- load a pre-trained Keras or TensorFlow model and explore it visually
- build an educational demo explaining how a CNN predicts results
- embed an interactive deep learning model viewer in a web page
When to choose
- you want interactive, browser-based 3D visualization of a neural network's structure and intermediate inferences
- your model comes from TensorFlow, Keras, or TensorFlow.js and can be preprocessed with the TensorSpace converter
- you are building educational or demo content about deep learning models
When to avoid
- you need general-purpose plotting or charting rather than neural network visualization
- you need a maintained, actively developed tool - the last release was in 2022
- you work with frameworks other than TensorFlow/Keras/TF.js, or need server-side or non-browser visualization
- you need to train models or run heavy inference - TensorSpace is for visualization only
Facets
framework · maturity maintenance
data-visualization deep-learning machine-learning graphics deep-learning machine-learning data-visualization web-development frontend browser cross-platform neural-networks 3d-visualization tensorflow keras tensorflowjs threejs model-visualization interactive nodejs
5 sources
- readme: https://github.com/tensorspace-team/tensorspace · fetched 2026-08-28 · 0177ce641e98
- homepage: https://tensorspace.org · fetched 2026-08-29 · 5d75408d8ae9
- site_page: https://tensorspace.org/html/docs/startIntro.html · fetched 2026-08-29 · 03607487fd89
- site_page: https://tensorspace.org/html/docs/startHello.html · fetched 2026-08-29 · 49d865777e18
- registry_npm: https://registry.npmjs.org/tensorspace · fetched 2026-08-29 · bc776279342b
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| tensorspace-team/tensorspace | main | 23 |
For agents
markdown · JSON · MCP: product_card(name="tensorspace-team/tensorspace")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem