{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/5"}],"enrichment":{"capability":"nixl is a meta package that automatically selects and installs the correct CUDA 12 or CUDA 13 backend for PyTorch at runtime based on your system's CUDA version.","skillfed_tags":["cuda-backend","pytorch-integration","runtime-detection"],"use_cases":["Deploying PyTorch applications across systems with different CUDA versions without rebuilding or maintaining separate packages","Simplifying dependency management in containerized environments where CUDA version detection is needed at runtime","Building Python packages that depend on nixl and need to work with multiple CUDA backends transparently","Testing PyTorch code against both CUDA 12 and CUDA 13 without manual backend switching"],"what_it_does":"nixl is a meta package that bundles both CUDA 12 and CUDA 13 backends for PyTorch. When you install it via pip, you get both backends included, and the package automatically detects your system's CUDA version at runtime to select the correct one. This eliminates the need to manually choose and install the right CUDA variant yourself. The package is actively maintained and released recently, with low installation friction since it distributes as a pure Python wheel.\n\nThe design is particularly useful for environments where CUDA versions might vary or where you want to distribute a single package that works across different CUDA setups. The `nixl[cu12]` and `nixl[cu13]` extras are supported for backward compatibility but don't change the behavior\u2014the automatic selection still occurs at runtime.","worth_installing":"Yes, if you use PyTorch with CUDA and want to avoid manual backend selection. The package is actively maintained, has no known vulnerabilities, uses permissive licensing, and installs with low friction. Install it when you need transparent CUDA version detection; skip it if you manually manage CUDA backends or use CPU-only PyTorch."},"id":"nixl","links":{"html":"https://skillfed.io/packages/nixl","md":"https://skillfed.io/packages/nixl.md","pypi":"https://pypi.org/project/nixl/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-14","license_spdx":"MIT AND Apache-2.0","license_treatment":"permissive","name":"nixl","python_support":"supports_current","summary":"NIXL Python API meta package for CUDA variants"},"popularity":{"monthly_downloads":500426,"position":6320,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"1.4.0"}