nvidia-cusparse-cu12
CUSPARSE native runtime libraries
Install
nvidia-cusparse-cu12 on PyPI
pip
pip install nvidia-cusparse-cu12uv
uv add nvidia-cusparse-cu12poetry
poetry add nvidia-cusparse-cu12Package facts
| License | LicenseRef-NVIDIA-Proprietary (unclear) |
| Python support | supports the current Python release (>=3) |
| Install friction | medium — platform-specific wheel |
| Runtime dependencies | 1 — nvidia-nvjitlink-cu12 |
| Maintenance | aging — 434 days since the last release |
| First released | |
| 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: nvidia_cusparse_cu12-12.5.10.65-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl; nvidia_cusparse_cu12-12.5.10.65-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl; nvidia_cusparse_cu12-12.5.10.65-py3-none-win_amd64.whl
Keywords: cuda, nvidia, runtime, machine learning, deep learning
About nvidia-cusparse-cu12
from the package's own PyPI description — quoted content, verbatim
CUSPARSE native runtime libraries
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
Provides NVIDIA CUSPARSE native runtime libraries for CUDA 12, enabling GPU-accelerated sparse matrix operations in Python applications on Linux and Windows.
Medium install friction due to platform-specific wheel distributions (x86_64, aarch64, Windows). Package is aging (434 days since last release) with no visible repository activity, suggesting limited active maintenance despite recent version updates.
Licensed under a proprietary NVIDIA license (LicenseRef-NVIDIA-Proprietary) with unclear terms. Users should consult NVIDIA's licensing documentation before deploying in commercial or restricted environments.
Usage
pip install nvidia-cusparse-cu12==12.5.10.65
import nvidia.cusparse_cu12
# Use via CuPy or other CUDA-aware libraries that depend on this runtime
Requires NVIDIA CUDA 12 toolkit installed on the system and an NVIDIA GPU; only available for Linux (x86_64, aarch64) and Windows (x86_64).
Verdict: A foundational NVIDIA runtime library for sparse GPU compute, popular in the top 1000 PyPI packages and free of known vulnerabilities. However, its aging maintenance status, proprietary license with unclear terms, and platform-specific distribution requirements make it a dependency best evaluated as part of a larger CUDA-dependent stack rather than as a standalone choice.
Needs verification
- Whether the 434-day age reflects genuine maintenance gaps or expected release cadence for stable runtime libraries
- Specific terms and restrictions of the NVIDIA proprietary license for commercial deployment
- Whether nvidia-nvjitlink-cu12 runtime dependency introduces additional constraints or conflicts
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