torch

PyPI v2.12.1

20,687,201 weekly downloads · BSD-3-Clause · 15 Dependencies

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Source data as of:

Summary

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Install pip install torch

Registry values

Reproduced verbatim from the official registry, with the source named on each value.

Weekly downloads 20,687,201 Source: PyPI (Python Package Index)
Releases 48 Last release: 2026-06-17 Source: PyPI (Python Package Index)
Dependencies 15 Source: PyPI (Python Package Index)

Description

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Registry-supplied description, cleaned to plain text. Source: PyPI (Python Package Index).

Package details

Package
torch
Registry
PyPI
Version
2.12.1
Weekly downloads
20,687,201 (weekly)
License
BSD-3-Clause
Dependencies
15: filelock, typing-extensions, setuptools, sympy, networkx, jinja2, fsspec, cuda-toolkit, nvidia-cublas, cuda-bindings, nvidia-cudnn-cu13, nvidia-cusparselt-cu13, nvidia-nccl-cu13, nvidia-nvshmem-cu13, triton
Releases
48
Last release
2026-06-17
First published
2018-12-07
Keywords
pytorch, machine learning
Repository
https://github.com/pytorch/pytorch

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Derived indices (computation method published)

Quanteta-computed from the registry values below. This is a derived index, not a measured registry metric. See the formula on the Data & Sources page.

Q-Vitality Quanteta 63.5 / 100 Maintenance activity index (release cadence + download level).
Q-Trust Quanteta 10.1 / 100 Adoption / stability index (community size + download stability + age).
Q-Risk Quanteta 54.9 / 100 Dependency-surface index. Higher = more risk factors detected.

Data & Sources

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Same license

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Shared keyword

nvidia-nccl-cu12 PyPI 11,369,469 nvidia-cublas-cu12 PyPI 5,936,698 nvidia-cuda-nvrtc-cu12 PyPI 5,920,915 einops PyPI 5,920,257
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