cuda-toolkit

CUDA Toolkit meta-package

cuda-toolkit License unclear Active v13.3.1 released 2026-06-29

Install

cuda-toolkit on PyPI

pip

pip install cuda-toolkit

uv

uv add cuda-toolkit

poetry

poetry add cuda-toolkit

Package facts

License	not declared (unclear)
Python support	not specified
Install friction	low — pure-Python wheel
Runtime dependencies	none
Maintenance	actively maintained — 45 days since the last release
First released	2025-06-29
Popularity	one of the top 1,000 most-downloaded packages on PyPI (30-day window, as of 2026-08-13)
Known vulnerabilities	none known (OSV.dev, checked 2026-08-13)

Evidence: cuda_toolkit-13.3.1-py2.py3-none-any.whl

Keywords: cuda, nvidia

Development Status :: 6 - MatureEnvironment :: GPUEnvironment :: GPU :: NVIDIA CUDA

About cuda-toolkit

from the package's own PyPI description — quoted content, verbatim

cuda-toolkit 13.3.1

NVIDIA CUDA Toolkit

> The NVIDIA CUDA Toolkit provides a development environment for creating high-performance, GPU-accelerated applications. With it, you can develop, optimize, and deploy your applications on GPU-accelerated embedded systems, desktop workstations, enterprise data centers, cloud-based platforms, and supercomputers. The toolkit includes GPU-accelerated libraries, debugging and optimization tools, a C/C++ compiler, and a runtime library.

`cuda-toolkit` package

The cuda-toolkit package is a meta-package (a package that contains no software and only installs other packages) to install all or part of the NVIDIA CUDA Toolkit.

For instructions on how to use the cuda-toolkit package, please refer to the NVIDIA CUDA Toolkit documentation and follow the installation guide for your platform. A summary of usage is also available below.

Using the `cuda-toolkit` package

The cuda-toolkit package uses package extras to install all or part of the CUDA Toolkit. Some examples of using the cuda-toolkit meta-package with extras:

Install all of the CUDA...

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AI interpretation — verify before relying

AI-generated interpretation of the package facts above; every digit, version, license, or vulnerability id it cites is grounded in the facts already shown on this page

A meta-package that installs NVIDIA CUDA Toolkit components, allowing selective installation of GPU libraries, compilers, and runtime tools through package extras.

Installation has low friction; the package is a pure meta-package distributed as a wheel with no compiled code. Marked as active maintenance with a release 45 days ago.

License treatment is unclear—no SPDX identifier or raw license text is recorded. Users should verify licensing terms before deploying in commercial or restricted environments.

Usage

cuda-toolkit[cudart]
# or for full toolkit:
cuda-toolkit[all]

NVIDIA CUDA Toolkit components require compatible NVIDIA GPU hardware and drivers; Python version requirements are unspecified in the package metadata.

Verdict: A convenient entry point for installing NVIDIA CUDA Toolkit components, suitable for GPU development workflows. Low install friction and active maintenance are strengths, but unclear licensing and unspecified Python version support warrant verification before production use.

Needs verification

Actual Python version compatibility—requires_python is unspecified despite GPU environment classifier
License terms and restrictions for the meta-package and its transitive NVIDIA component dependencies
Whether extras correctly resolve to versioned NVIDIA packages on all platforms

cuda toolkit installationnvidia gpu development environmentcuda runtime and librariesgpu-accelerated computing setupnvidia cuda compiler toolscuda meta-packagegpu toolkit package