{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/4"}],"enrichment":{"capability":"XGBoost CPU-only gradient boosting library for machine learning model training and prediction without GPU acceleration, designed for space-constrained environments.","skillfed_tags":["gradient-boosting","cpu-only","space-constrained"],"use_cases":["Train gradient boosting models in containerized or resource-limited environments where full XGBoost would exceed storage budgets.","Build CPU-based ML pipelines on x86_64 Linux or Windows servers without GPU infrastructure.","Develop and test XGBoost models locally before deploying to GPU-accelerated production systems.","Use XGBoost in embedded or edge deployments where GPU support is unnecessary or unavailable."],"what_it_does":"XGBoost-cpu is a CPU-only variant of the XGBoost gradient boosting library, stripped of GPU acceleration and federated learning support to minimize installation size. It's built for environments where disk or memory constraints make the full XGBoost package impractical, while retaining the core gradient boosting algorithm for classification, regression, and ranking tasks.\n\nThe package depends only on numpy and scipy, making it relatively lightweight. It ships as pre-built wheels for x86_64 Linux and Windows platforms only; users on other architectures or seeking GPU support should install the standard xgboost package instead. The library is actively maintained, supports modern Python versions (3.12+), and carries an Apache-2.0 license.","worth_installing":"Yes, if you need XGBoost on x86_64 Linux or Windows and have storage or memory constraints. The active maintenance, permissive license, and zero known vulnerabilities make it a safe choice. No if you require GPU acceleration, federated learning, or run on non-x86_64 platforms\u2014use the standard xgboost package instead."},"id":"xgboost-cpu","links":{"html":"https://skillfed.io/packages/xgboost-cpu","md":"https://skillfed.io/packages/xgboost-cpu.md","pypi":"https://pypi.org/project/xgboost-cpu/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-04","license_spdx":"Apache-2.0","license_treatment":"permissive","name":"xgboost-cpu","python_support":"supports_current","summary":"XGBoost Python Package"},"popularity":{"monthly_downloads":784597,"position":5071,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"3.4.0"}