Ross ROSS = Recommend OSS · open-source software intelligence for agents

pytorch/pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration observed · 2026-10-18

github.com/pytorch/pytorch · homepage · Python · NOASSERTION (other) observed · 2026-10-18

Health v2 · maintenance only

95/100

  • Activity 100
  • Release rhythm 85
  • 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: 56
  • age_days: 3720
  • days_rel: 20
  • days_push: 3
  • n_releases_24m: 14

Full methodology

Adoption not part of the score

104835 stars · 32723 forks observed · 2026-10-18

What it is AI-extracted, prompt v1, taxonomy v1, 2026-09-21, confidence 0.99

PyTorch is an open-source Python library for tensor computation and deep neural networks with strong GPU acceleration. It provides a dynamic tape‑based autograd system and integrates tightly with the Python scientific stack.

Use cases

  • train deep neural networks on GPUs
  • perform fast tensor operations similar to NumPy
  • prototype and experiment with dynamic computational graphs
  • run large‑scale distributed training across multiple nodes
  • deploy models using TorchScript or TorchServe
  • integrate custom CUDA kernels for high‑performance workloads

When to choose

  • You need a flexible, Python‑first framework for research and production deep learning.
  • GPU acceleration and support for CUDA, ROCm, and other accelerators are required.
  • You want seamless integration with NumPy, SciPy, and other Python scientific libraries.

When to avoid

  • You require a lightweight, pure‑CPU library with minimal dependencies.
  • Your project is written in a language other than Python and cannot use Python bindings.
  • You need a static graph‑only framework with no dynamic execution.

Facets

library · maturity active

machine-learning deep-learning artificial-intelligence machine-learning deep-learning python windows gpu-acceleration tensor-computation dynamic-graph numpy-compatible tensor autograd linux macos

5 sources

Member repositories

RepositoryRoleHealth v2
pytorch/pytorchmain95

For agents

markdown · JSON · MCP: product_card(name="pytorch/pytorch")

Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem