nvidia-cusparse-cu11
CUSPARSE native runtime libraries
Decision gist · record as of 2026-08-14
No—unless you are maintaining legacy code explicitly pinned to CUDA 11. The package is abandoned with no maintenance for over 1396 days, creating compatibility and security risk. Modern projects should use current NVIDIA CUDA runtime packages or rely on framework-managed CUDA dependencies instead. If you must use CUDA 11, verify that your GPU driver and CUDA toolkit match version 11.7.5.86 exactly.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires an NVIDIA GPU with CUDA 11 support and matching driver; only available for x86_64 Linux, aarch64, or Windows platforms.
- Medium install friction due to platform-specific wheel distribution (x86_64 Linux, aarch64, Windows).
- Package is abandoned—last release was over 1396 days ago with no maintenance activity, which poses risk for compatibility with newer CUDA or Python versions.
License · maintenance · safety
NVIDIA Proprietary Software (unclear) — Licensed under NVIDIA Proprietary Software with unclear treatment. Users should verify licensing terms directly with NVIDIA before deploying in production or commercial contexts.
last release 2022-10-18 (1396 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 1,540,427 downloads/mo, #3,786 on PyPI
Alternatives
Verify before relying
pip install nvidia-cusparse-cu11==11.7.5.86
# Import in code that uses sparse matrix operations via CUDA
import nvidia.cusparse- Whether this package is still compatible with modern CUDA driver versions given its abandoned status.
- Whether the NVIDIA Proprietary Software license permits use in specific deployment contexts (commercial, cloud, etc.).
- Whether newer CUDA versions (12+) are supported or if users must pin to CUDA 11.
What it is and what it does
nvidia-cusparse-cu11 is a native runtime library package that bundles NVIDIA's CUSPARSE library for CUDA 11. It provides low-level GPU acceleration for sparse matrix operations—a critical building block for machine learning frameworks and scientific computing libraries that need to perform efficient sparse linear algebra on NVIDIA GPUs.
The package is a runtime dependency, not a user-facing library; it is typically installed as a transitive dependency by higher-level frameworks like PyTorch or CuPy. It requires an NVIDIA GPU and CUDA 11 driver to function and is distributed as platform-specific wheels for Linux (x86_64 and aarch64) and Windows. However, the package has been abandoned for over 1396 days, with no recent maintenance or updates, which creates compatibility risk for users on newer CUDA or Python versions.
Use it for
- Dependency for PyTorch or other ML frameworks configured to use CUDA 11 sparse operations.
- Scientific computing workflows requiring GPU-accelerated sparse matrix multiplication or decomposition.
- Custom CUDA applications that directly call CUSPARSE routines for sparse linear algebra.
- Legacy systems locked to CUDA 11 that cannot upgrade to newer CUDA versions.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
No—unless you are maintaining legacy code explicitly pinned to CUDA 11.
The package is abandoned with no maintenance for over 1396 days, creating compatibility and security risk. Modern projects should use current NVIDIA CUDA runtime packages or rely on framework-managed CUDA dependencies instead. If you must use CUDA 11, verify that your GPU driver and CUDA toolkit match version 11.7.5.86 exactly.
Install
nvidia-cusparse-cu11 on PyPI
Before you install
Medium install friction due to platform-specific wheel distribution (x86_64 Linux, aarch64, Windows). Package is abandoned—last release was over 1396 days ago with no maintenance activity, which poses risk for compatibility with newer CUDA or Python versions.
Requires an NVIDIA GPU with CUDA 11 support and matching driver; only available for x86_64 Linux, aarch64, or Windows platforms.
License in practice
Licensed under NVIDIA Proprietary Software with unclear treatment. Users should verify licensing terms directly with NVIDIA before deploying in production or commercial contexts.
Quickstart
pip install nvidia-cusparse-cu11==11.7.5.86
# Import in code that uses sparse matrix operations via CUDA
import nvidia.cusparseVerify before relying
- Whether this package is still compatible with modern CUDA driver versions given its abandoned status.
- Whether the NVIDIA Proprietary Software license permits use in specific deployment contexts (commercial, cloud, etc.).
- Whether newer CUDA versions (12+) are supported or if users must pin to CUDA 11.
Package facts
| License | NVIDIA Proprietary Software unclear |
| Python support | Supports the current Python release >=3 |
| Install friction | Medium. Platform-specific wheel |
| Runtime dependencies | None |
| Maintenance | Abandoned 1,396 days since the last release |
| First released | |
| Downloads | 1,540,427 / month, #3,786 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 4 - BetaIntended Audience :: DevelopersIntended Audience :: EducationIntended Audience :: Science/ResearchLicense :: Other/Proprietary LicenseNatural Language :: EnglishOperating System :: Microsoft :: WindowsOperating System :: POSIX :: LinuxProgramming Language :: Python :: 3Programming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.5Programming Language :: Python :: 3.6Programming Language :: Python :: 3.7Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Topic :: Scientific/EngineeringTopic :: Scientific/Engineering :: Artificial IntelligenceTopic :: Scientific/Engineering :: MathematicsTopic :: Software DevelopmentTopic :: Software Development :: Libraries |
Evidence: nvidia_cusparse_cu11-11.7.5.86-py3-none-manylinux1_x86_64.whl; nvidia_cusparse_cu11-11.7.5.86-py3-none-manylinux2014_aarch64.whl; nvidia_cusparse_cu11-11.7.5.86-py3-none-manylinux2014_x86_64.whl; nvidia_cusparse_cu11-11.7.5.86-py3-none-win_amd64.whl
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See also nvidia-cusparse · nvidia-cusparse-cu12 · nvidia-cusolver-cu11 · nvidia-cublas-cu11 · nvidia-cuda-nvdisasm · nvidia-cudnn-cu11 · nvidia-cublas · nvidia-cusparselt-cu13 · nvidia-cuda-runtime-cu11 · nvidia-cusparselt-cu12