Torch7
http://torch.ch observed · 2026-08-28
Health v2 · maintenance only
39/100
- Activity 14
- Release rhythm 35
- Longevity 100
Flags: no_releases 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: 4702
- days_rel: n/a
- days_push: 520
- n_releases_24m: 0
Adoption not part of the score
9141 stars · 2338 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
Torch7 is a scientific computing framework with a fast multi-dimensional tensor library and math operations, originally built for Lua with a C backend (TH, THNN, THC). It was the predecessor to PyTorch and is no longer in active development, with its functionality rewritten in PyTorch's ATen library.
Use cases
- train neural networks with Lua
- multi-dimensional tensor math operations
- run legacy Torch7 machine learning models
- GPU-accelerated tensor computations with cutorch
- maintain old research codebases built on Torch
- serialize and deserialize arbitrary objects for ML pipelines
When to choose
- you must run or maintain an existing Torch7/Lua codebase
- you need to reproduce results from older research papers that used Torch
When to avoid
- starting any new machine learning project
- you want GPU support, sparse tensors, or modern features - use PyTorch instead
- you need community support or recent updates
Facets
framework · maturity abandoned
machine-learning deep-learning serialization math machine-learning deep-learning developer-tools cpp lua tensors legacy scientific-computing lua gpu-computing linux macos
1 source
- readme: https://github.com/torch/torch7 · fetched 2026-08-28 · ef820c06d217
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| torch/torch7 | main | 39 |
| torch/nn | plugin | 32 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem