{"categories":[{"label":"Software Development","url":"https://skillfed.io/packages/category/software-development/4"},{"label":"Libraries","url":"https://skillfed.io/packages/category/software-development-libraries/3"},{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering/2"},{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/2"},{"label":"Mathematics","url":"https://skillfed.io/packages/category/scientific-engineering-mathematics"}],"enrichment":{"capability":"Provides the NVIDIA CUDA nvcc compiler for building CUDA applications from Python, bundling the compiler with its runtime dependencies.","skillfed_tags":["cuda-compiler","gpu-development","nvidia-toolkit"],"use_cases":["Compile custom CUDA kernels as part of a Python machine learning pipeline or build system.","Develop GPU-accelerated libraries that require CUDA source compilation during installation.","Integrate CUDA compilation into continuous integration workflows for GPU-accelerated applications.","Build custom CUDA extensions for deep learning frameworks that need kernel-level optimization."],"what_it_does":"nvidia-cuda-nvcc is a Python package that bundles the NVIDIA CUDA nvcc compiler, enabling developers to compile CUDA C/C++ code as part of Python-based build workflows. It packages the compiler with three runtime dependencies (nvidia-nvvm, nvidia-cuda-runtime, nvidia-cuda-crt) to provide a self-contained compilation environment. The package is classified as Beta and targets developers, educators, and researchers working with GPU-accelerated computing, machine learning, and deep learning applications.\n\nInstallation requires a CUDA-capable NVIDIA GPU and the appropriate platform (Linux aarch64, Linux x86_64, or Windows). The package supports Python 3.5 through 3.11 and is actively maintained, with its latest release dated 2026-06-29. It carries no known security vulnerabilities as of the last check.","worth_installing":"Yes, if you need to compile CUDA code from Python on a GPU-equipped system. The package is actively maintained, has no known vulnerabilities, and is widely used (top 5000 on PyPI). Install friction is moderate due to platform-specific wheels and GPU hardware requirements, but this is inherent to CUDA development. Verify that your system meets the GPU and driver prerequisites before installing."},"id":"nvidia-cuda-nvcc","links":{"html":"https://skillfed.io/packages/nvidia-cuda-nvcc","md":"https://skillfed.io/packages/nvidia-cuda-nvcc.md","pypi":"https://pypi.org/project/nvidia-cuda-nvcc/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-06-29","license_spdx":null,"license_treatment":"unclear","name":"nvidia-cuda-nvcc","python_support":"supports_current","summary":"CUDA nvcc"},"popularity":{"monthly_downloads":2539204,"position":3013,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"13.3.73"}