{"categories":[{"label":"Quality Assurance","url":"https://skillfed.io/packages/category/software-development-quality-assurance/3"}],"enrichment":{"capability":"Provides PEP-561-compliant type stubs for NumPy, pandas, and Matplotlib, enabling mypy and other type checkers to recognize and validate types in these libraries.","skillfed_tags":["type-stubs","abandoned"],"use_cases":["Catch type errors in array operations before runtime, such as incorrect dtype assignments or incompatible arithmetic.","Enable IDE autocompletion and type hints for data structures in editors like PyCharm.","Validate plotting code with type checking to catch incorrect argument types to functions.","Add static type safety to data science scripts without waiting for upstream libraries to ship their own stubs."],"what_it_does":"This is a stub-only package that teaches mypy, pytype, and PyCharm how to type-check code using NumPy, pandas, and Matplotlib. It does not add runtime behavior\u2014it only provides type information for static analysis. The stubs are PEP-561 compliant, meaning type checkers will automatically recognize them when the package is installed.\n\nThe package is explicitly a work in progress and incomplete. Many functions lack type annotations in the stubs. As a result, you may encounter type checker errors claiming functions do not exist when they actually do. The project was archived and has not been maintained since 2021-02-16, so new library features and API changes are not reflected in the stubs.","worth_installing":"No. The package is abandoned and has not been maintained since 2021-02-16. While it has no runtime dependencies and installs easily, its incomplete stub coverage combined with lack of maintenance means it will produce false negatives and false positives. Modern versions of the supported libraries have either shipped their own stubs or improved type support, making this package obsolete for current projects."},"id":"data-science-types","links":{"html":"https://skillfed.io/packages/data-science-types","md":"https://skillfed.io/packages/data-science-types.md","pypi":"https://pypi.org/project/data-science-types/"},"maintenance":{"status":"abandoned"},"meta":{"latest_release":"2021-02-16","license_spdx":null,"license_treatment":"permissive","name":"data-science-types","python_support":"supports_current","summary":"Type stubs for Python machine learning libraries"},"popularity":{"monthly_downloads":180978,"position":10135,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.2.23"}