{"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":"nvdisasm disassembles NVIDIA CUDA cubin files into human-readable CUDA assembly code, extracting and presenting the compiled GPU kernel information.","skillfed_tags":["cuda-tooling","gpu-development"],"use_cases":["Analyze compiled CUDA kernel binaries to understand GPU code generation and optimization behavior","Debug GPU kernel performance by inspecting the assembly-level instructions generated by the NVIDIA compiler","Reverse-engineer or audit CUDA applications by disassembling their compiled cubin objects","Validate compiler output and verify that optimization passes are applied as expected"],"what_it_does":"nvidia-cuda-nvdisasm is a Python package that wraps NVIDIA's nvdisasm tool, allowing you to disassemble CUDA cubin files (compiled GPU binaries) into human-readable CUDA assembly code. It accepts cubin files as input and outputs the corresponding assembly representation, making it possible to inspect what code the NVIDIA compiler actually generated for your GPU kernels.\n\nThe package is distributed as platform-specific wheels for x86_64 Linux, aarch64 Linux, and Windows, with no Python runtime dependencies. It targets developers and researchers working with CUDA who need to inspect, debug, or analyze compiled GPU code at the assembly level. The package is actively maintained and supports Python 3.5 through 3.11.","worth_installing":"Yes, if you need to disassemble CUDA cubin files for kernel analysis or debugging. Install friction is moderate due to platform-specific wheels and likely system-level CUDA dependencies, but the package is actively maintained and has no Python-level dependency complications. Verify beforehand that your system has the necessary CUDA runtime libraries and that your platform (x86_64 Linux, aarch64 Linux, or Windows) is supported."},"id":"nvidia-cuda-nvdisasm","links":{"html":"https://skillfed.io/packages/nvidia-cuda-nvdisasm","md":"https://skillfed.io/packages/nvidia-cuda-nvdisasm.md","pypi":"https://pypi.org/project/nvidia-cuda-nvdisasm/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-06-29","license_spdx":null,"license_treatment":"unclear","name":"nvidia-cuda-nvdisasm","python_support":"supports_current","summary":"CUDA nvdisasm"},"popularity":{"monthly_downloads":1423771,"position":3920,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"13.3.73"}