# facebookarchive/iTorch

IPython kernel for Torch with visualization and plotting

Repository: https://github.com/facebookarchive/iTorch
Canonical: https://ross.abutalabs.com/products/itorch
Language: Jupyter Notebook
License: NOASSERTION
License Family: other
Archived: true
Last push: 2017-11-10T23:51:40+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": 4249, "days_push": 3218, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, archived, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1092, forks 153 (observed 2026-08-28T04:03:33.344864+00:00)

## What it is
iTorch is an IPython kernel for the Torch machine learning framework, providing notebook support with autocomplete and inline help. It adds visualization functions for images, video, audio, HTML, and Bokeh-based plotting from Lua.

## Use cases
- run torch lua code in a jupyter notebook
- plot tensors inline in ipython
- display images and video in a notebook
- interactive autocomplete for torch
- save bokeh plots to html from lua

## When to choose
- you maintain a legacy Torch (Lua) codebase and want notebook interactivity
- you need inline media visualization for Torch tensors

## When to avoid
- you use PyTorch instead of Lua Torch
- you need an actively maintained kernel
- starting a new machine learning project today

## Facets
- artifact type: library
- maturity: abandoned
- function: data-visualization, charts, developer-tools
- domain: machine-learning, data-visualization, developer-tools
- platform: python, lua, cross-platform
- tags: ipython-kernel, torch, jupyter-notebook, bokeh, archived

## Member repositories
- facebookarchive/iTorch (main) score 10

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:33.344864+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 2026-08-30T06:49:02.176137+00:00, confidence not recorded.
  - readme: https://github.com/facebookarchive/iTorch (fetched 2026-08-28T04:03:33.344864+00:00, sha fcc552ab92ef)
- Data as of 2026-08-30T08:39:29.467469+00:00.