{"categories":[{"label":"Software Development","url":"https://skillfed.io/packages/category/software-development"},{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering"}],"enrichment":{"capability":"Skops provides secure persistence and model card generation for scikit-learn estimators, enabling you to save trained models without pickle and document them for production deployment.","skillfed_tags":["ml-deployment","model-serialization","sklearn-tools"],"use_cases":["Serialize a trained estimator to disk without pickle, then load and deploy it in a web service.","Generate a model card documenting a model's performance, intended use, and limitations for sharing.","Store multiple pipeline versions securely in a model registry without trusting pickle deserialization.","Create reproducible model documentation that includes training data summaries and evaluation metrics.","Share a trained model with collaborators in a format that is both human-readable and secure."],"what_it_does":"Skops is a Python library that solves the problem of safely sharing and deploying scikit-learn models in production. It provides two main tools: skops.io for secure, pickle-free serialization of estimators, and skops.card for generating model cards that document what a model does and how it should be used. The library is built on top of numpy, scipy, scikit-learn, and packaging, and targets developers and researchers who need to move trained models from development into production environments or share them on platforms like Hugging Face Hub.\n\nThe package is actively maintained, supports Python 3.9 through 3.14, and runs on macOS, Windows, and Unix-like systems. It is classified as Beta-stage software and sits in the top 5000 PyPI packages by download volume. The core value proposition is avoiding pickle's security risks while providing a standardized way to document and version models alongside their serialized artifacts.","worth_installing":"Yes, if you work with scikit-learn models in production or need to share them. The low-friction install, active maintenance, and pickle-free persistence address real security and reproducibility concerns. Verify the license before use in proprietary contexts, as it is currently marked unclear in the metadata."},"id":"skops","links":{"html":"https://skillfed.io/packages/skops","md":"https://skillfed.io/packages/skops.md","pypi":"https://pypi.org/project/skops/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-04-20","license_spdx":null,"license_treatment":"unclear","name":"skops","python_support":"supports_current","summary":"A set of tools, related to machine learning in production."},"popularity":{"monthly_downloads":19962838,"position":1049,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"0.14.0"}