Downloads in the 30 and 7 days to October 10, 2026. Refreshed weekly.
Package Information
No reported malware or high/critical advisories · Details
The current version has no OSV.dev malware reports and no critical or high-severity vulnerabilities.
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((week_daily_avg - month_daily_avg) / month_daily_avg) * 100More insights and metrics
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Dependencies
- cuda-bindings
- cuda-core <2,>=0.5.0
- cuda-pathfinder <2.0,>=1.5.1
- numpy <3,>=1.25
-
pywin32
platform_system == "Windows"
54 optional dependencies
-
cffi[numba]extra == "numba"
-
cuda-bindings<13,>=12.9.2[sysctk12]extra == "sysctk12"
-
cuda-bindings<14,>=13.0.1[sysctk13]extra == "sysctk13"
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cuda-core[cu13]extra == "cu13"
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cuda-core[cu12]extra == "cu12"
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cuda-toolkit==13.*[cu13-dx]extra == "cu13-dx"
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cuda-toolkit>=13.0.2[cu13-distributed]platform_system == "Linux" and extra == "cu13-distributed"
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cuda-toolkit==13.*[cu13]extra == "cu13"
-
cutensor-cu12<3,>=2.5.0[sysctk12]extra == "sysctk12"
-
cutensor-cu12<3,>=2.5.0[cu12]extra == "cu12"
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cutensor-cu13<3,>=2.5.0[cu13]extra == "cu13"
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cutensor-cu13<3,>=2.5.0[sysctk13]extra == "sysctk13"
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llvmlite[numba]extra == "numba"
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mkl[cpu](platform_machine == "x86_64" or platform_machine == "AMD64") and extra == "cpu"
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nccl4py<0.4,>=0.3.1[sysctk12-distributed]platform_system == "Linux" and extra == "sysctk12-distributed"
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nccl4py<0.4,>=0.3.1[sysctk13-distributed]platform_system == "Linux" and extra == "sysctk13-distributed"
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numba[numba]extra == "numba"
-
numba-cuda<1,>=0.28.1[numba]extra == "numba"
-
numba-cuda-mlir<1,>=0.4.1[numba]python_version >= "3.11" and extra == "numba"
-
nvidia-cublas-cu12[cu12]extra == "cu12"
-
nvidia-cublasmp-cu12<0.10,>=0.8.1[cu12-distributed]platform_system == "Linux" and extra == "cu12-distributed"
-
nvidia-cublasmp-cu13<0.10,>=0.8.1[cu13-distributed]platform_system == "Linux" and extra == "cu13-distributed"
-
nvidia-cuda-cccl-cu12>12.4.127[cu12-dx]extra == "cu12-dx"
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nvidia-cuda-nvrtc-cu12[cu12]extra == "cu12"
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nvidia-cuda-nvrtc-cu12!=12.4.*,!=12.5.0[cu12-dx]extra == "cu12-dx"
-
nvidia-cuda-runtime-cu12[cu12]extra == "cu12"
-
nvidia-cudss-cu12==0.8.*[cu12]extra == "cu12"
-
nvidia-cudss-cu13==0.8.*[cu13]extra == "cu13"
-
nvidia-cufft-cu12[cu12]extra == "cu12"
-
nvidia-cufftmp-cu12[cu12-distributed]platform_system == "Linux" and extra == "cu12-distributed"
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nvidia-cufftmp-cu13>=12.1.3.2[cu13-distributed]platform_system == "Linux" and extra == "cu13-distributed"
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nvidia-curand-cu12[cu12]extra == "cu12"
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nvidia-cusolver-cu12[cu12]extra == "cu12"
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nvidia-cusolvermp-cu12<0.10,>=0.8.0[cu12-distributed]platform_system == "Linux" and extra == "cu12-distributed"
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nvidia-cusolvermp-cu13<0.10,>=0.8.0[cu13-distributed]platform_system == "Linux" and extra == "cu13-distributed"
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nvidia-cusparse-cu12[cu12]extra == "cu12"
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nvidia-libmathdx-cu12!=0.3.1.8,<0.4.0,>=0.3.1[cu12-dx]extra == "cu12-dx"
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nvidia-libmathdx-cu13!=0.3.1.8,<0.4.0,>=0.3.1[cu13-dx]extra == "cu13-dx"
-
nvidia-nccl-cu12>=2.29.2[sysctk12-distributed]platform_system == "Linux" and extra == "sysctk12-distributed"
-
nvidia-nccl-cu13>=2.29.2[sysctk13-distributed]platform_system == "Linux" and extra == "sysctk13-distributed"
-
nvidia-nvshmem-cu12>=3.2.5[cu12-distributed]platform_system == "Linux" and extra == "cu12-distributed"
-
nvidia-nvshmem-cu13>=3.2.5[cu13-distributed]platform_system == "Linux" and extra == "cu13-distributed"
-
nvmath-python[cu12]extra == "cu12"
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nvmath-python[cu12-dx]extra == "cu12-dx"
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nvmath-python[cu13]extra == "cu13"
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nvmath-python[cu13-distributed]extra == "cu13-distributed"
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nvmath-python[cu13-dx]extra == "cu13-dx"
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nvmath-python[sysctk12-distributed]extra == "sysctk12-distributed"
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nvmath-python[sysctk12-dx]extra == "sysctk12-dx"
-
nvmath-python[sysctk13-distributed]extra == "sysctk13-distributed"
-
nvmath-python[sysctk13-dx]extra == "sysctk13-dx"
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nvmath-python[cu12-distributed]extra == "cu12-distributed"
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nvpl-blas<1,>=0.3[cpu](platform_system == "Linux" and platform_machine == "aarch64") and extra == "cpu"
-
nvpl-fft<1,>=0.3[cpu](platform_system == "Linux" and platform_machine == "aarch64") and extra == "cpu"
Used By
- cuquantum-python-cu12 12.1K/mo
- cuquantum-python-cu13 5.5K/mo
- adtlert 908/mo