{"categories":[{"label":"Software Development","url":"https://skillfed.io/packages/category/software-development/5"},{"label":"Libraries","url":"https://skillfed.io/packages/category/software-development-libraries/4"},{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering/3"},{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/3"},{"label":"Mathematics","url":"https://skillfed.io/packages/category/scientific-engineering-mathematics"}],"enrichment":{"capability":"Provides the NVIDIA CUDA nvcc compiler for building CUDA applications, packaged as a Python distribution for easy installation across Linux and Windows platforms.","skillfed_tags":["cuda-compiler","gpu-development"],"use_cases":["Compile custom CUDA kernels as part of a Python package build pipeline.","Set up a reproducible CUDA development environment in CI/CD workflows.","Build GPU-accelerated libraries that require custom CUDA code compilation.","Develop machine learning applications with hand-optimized CUDA kernels."],"what_it_does":"This package distributes the NVIDIA CUDA nvcc compiler as a Python wheel, making it installable via pip on Linux and Windows systems. It is a thin wrapper around the CUDA compiler toolchain, allowing developers to compile CUDA C/C++ code as part of their Python-based build workflows. The package has no runtime Python dependencies and serves primarily as a convenient distribution mechanism for the nvcc binary.\n\nThe package targets machine learning, deep learning, and scientific computing workflows where developers need to compile custom CUDA kernels. It supports Python 3.5 and later, though the actual compilation happens outside the Python runtime. The aging maintenance status (435 days since last release) suggests this may be a stable, infrequently-updated distribution rather than an actively developed project.","worth_installing":"Yes, if you need to compile CUDA code in a Python environment and are comfortable with proprietary licensing. The package is stable, widely downloaded, and has no known vulnerabilities. However, verify that the proprietary license terms fit your use case, and confirm that CUDA 12.9.86 matches your GPU and toolkit requirements before committing to this version."},"id":"nvidia-cuda-nvcc-cu12","links":{"html":"https://skillfed.io/packages/nvidia-cuda-nvcc-cu12","md":"https://skillfed.io/packages/nvidia-cuda-nvcc-cu12.md","pypi":"https://pypi.org/project/nvidia-cuda-nvcc-cu12/"},"maintenance":{"status":"aging"},"meta":{"latest_release":"2025-06-05","license_spdx":null,"license_treatment":"unclear","name":"nvidia-cuda-nvcc-cu12","python_support":"supports_current","summary":"CUDA nvcc"},"popularity":{"monthly_downloads":1299316,"position":4089,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"12.9.86"}