facebookarchive/iTorch
IPython kernel for Torch with visualization and plotting observed · 2026-08-28
Health v2 · maintenance only
10/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases archived no_license
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: 4249
- days_rel: n/a
- days_push: 3218
- n_releases_24m: 0
Adoption not part of the score
1092 stars · 153 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
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
library · maturity abandoned
data-visualization charts developer-tools machine-learning data-visualization developer-tools python lua cross-platform ipython-kernel torch jupyter-notebook bokeh archived
1 source
- readme: https://github.com/facebookarchive/iTorch · fetched 2026-08-28 · fcc552ab92ef
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| facebookarchive/iTorch | main | 10 |
For agents
markdown · JSON · MCP: product_card(name="facebookarchive/iTorch")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem