{"categories":[{"label":"Software Development","url":"https://skillfed.io/packages/category/software-development/7"},{"label":"Libraries","url":"https://skillfed.io/packages/category/software-development-libraries/5"},{"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/5"},{"label":"Mathematics","url":"https://skillfed.io/packages/category/scientific-engineering-mathematics/2"}],"enrichment":{"capability":"Provides NVIDIA's CUDA C++ Core Compute Libraries (CCCL) for GPU-accelerated computing on CUDA 12 platforms.","skillfed_tags":["gpu-computing","cuda-runtime","nvidia"],"use_cases":["As a dependency for CUDA-accelerated machine learning frameworks that require low-level compute library access.","Building custom GPU-accelerated C++ applications that need CCCL bindings through Python.","Scientific computing pipelines that rely on NVIDIA's optimized parallel compute primitives.","Deep learning research environments where CUDA 12 toolkit components are required."],"what_it_does":"This package distributes NVIDIA's CUDA C++ Core Compute Libraries (CCCL) as a Python wheel for CUDA 12 environments. It serves as a low-level runtime component for GPU-accelerated computing, typically used as a dependency by higher-level frameworks rather than directly by end users. The package supports Python 3.5 through 3.11 across Linux (x86_64 and aarch64) and Windows (x86_64) platforms.\n\nThe package carries medium install friction due to platform-specific wheel distributions and requires a CUDA 12-capable GPU and matching CUDA toolkit. Its aging maintenance status\u2014no releases for 470 days\u2014suggests it may be in a stable maintenance phase rather than active development. The proprietary NVIDIA license requires explicit verification before use in commercial or redistributed contexts.","worth_installing":"Yes, if you are building or using CUDA 12-based GPU applications and this package is listed as a dependency. No, if you are looking for a standalone Python library\u2014this is a runtime component distribution. Verify NVIDIA's proprietary license terms before deployment. The aging maintenance status is not a blocker for stable, mature CUDA 12 environments but may indicate limited future updates."},"id":"nvidia-cuda-cccl-cu12","links":{"html":"https://skillfed.io/packages/nvidia-cuda-cccl-cu12","md":"https://skillfed.io/packages/nvidia-cuda-cccl-cu12.md","pypi":"https://pypi.org/project/nvidia-cuda-cccl-cu12/"},"maintenance":{"status":"aging"},"meta":{"latest_release":"2025-05-01","license_spdx":null,"license_treatment":"unclear","name":"nvidia-cuda-cccl-cu12","python_support":"supports_current","summary":"CUDA CCCL"},"popularity":{"monthly_downloads":627604,"position":5680,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"12.9.27"}