elixir-nx/nx
Multi-dimensional arrays (tensors) and numerical definitions for Elixir observed · 2026-10-20
Health v2 · maintenance only
98/100
- Activity 100
- Release rhythm 94
- Longevity 100
Flags: no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.
- gap_med: 27.0
- age_days: 2183
- days_rel: 40
- days_push: 1
- n_releases_24m: 5
Adoption not part of the score
2915 stars · 234 forks observed · 2026-10-20
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
Nx is an Elixir library providing multi-dimensional arrays (tensors) and numerical definitions with pluggable backends. The monorepo also includes EXLA (Google's XLA compiler backend) and Torchx (LibTorch backend) for accelerated computation.
Use cases
- perform tensor computations in Elixir
- compile numerical code with XLA for GPU acceleration
- run numerical definitions with JIT compilation
- use PyTorch/LibTorch as a backend from Elixir
- build machine learning models in Elixir
- accelerate linear algebra workloads on GPU
When to choose
- you want NumPy-like tensors in Elixir
- you need GPU-accelerated numerical computing in the BEAM ecosystem
- you want JIT-compiled numerical definitions via XLA or LibTorch
When to avoid
- you need a mature deep learning ecosystem like PyTorch or TensorFlow
- your project is not on the Erlang/Elixir platform
- you need extensive pretrained model support out of the box
Facets
library · maturity active
machine-learning math gpu-computing compiler machine-learning deep-learning gpu-computing data-science elixir tensors numerical-computing xla libtorch jit numerical-definitions gpu
1 source
- readme: https://github.com/elixir-nx/nx · fetched 2026-10-20 · f897586f7813
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| elixir-nx/nx | main | 98 |
For agents
Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem