tensorly/tensorly
Some data may be outdated — see provenance labels.
TensorLy: Tensor Learning in Python. observed · 2026-09-30
Health v2 · maintenance only
64/100
- Activity 92
- Release rhythm 8
- 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: n/a
- age_days: 3651
- days_rel: 707
- days_push: 48
- n_releases_24m: 1
Adoption not part of the score
1693 stars · 301 forks observed · 2026-09-30
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
TensorLy is a Python library for tensor learning, providing tensor decomposition, tensor algebra, and tensor regression with a simple API. Its backend system lets the same code run on NumPy, PyTorch, JAX, TensorFlow, CuPy, or Paddle, on CPU or GPU.
Use cases
- perform tensor decomposition like CP or Tucker in Python
- run tensor algebra operations on GPU with PyTorch or JAX backends
- fit tensor regression models
- switch tensor computation backends without rewriting code
- learn tensor methods for machine learning research
- factorize multi-dimensional arrays
When to choose
- you need tensor decomposition or factorization in Python with a clean high-level API
- you want backend-agnostic tensor code that runs on NumPy, PyTorch, JAX, TensorFlow, or CuPy
- you are doing research or teaching involving tensor methods
When to avoid
- you only need standard 2D matrix operations rather than multi-dimensional tensors
- you need a deep learning framework's full ecosystem rather than a focused tensor library
- you require a permissively documented commercial support arrangement
Facets
library · maturity stable
machine-learning math data-science machine-learning data-science python cross-platform tensor-decomposition tensor-algebra tensor-learning numpy pytorch jax tensorflow cupy backend-agnostic algorithms gpu
3 sources
- readme: https://github.com/tensorly/tensorly · fetched 2026-09-30 · 25ae639f5225
- homepage: http://tensorly.org · fetched 2026-08-29 · 00e6bf4b0cb2
- registry_pypi: https://pypi.org/pypi/tensorly/json · fetched 2026-08-29 · 8aa2076242e7
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| tensorly/tensorly | main | 64 |
For agents
markdown · JSON · MCP: product_card(name="tensorly/tensorly")
Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem