{"categories":[{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering/6"}],"enrichment":{"capability":"scikit-misc provides miscellaneous tools for data analysis and scientific computing, built on numpy with compiled C and Fortran components.","skillfed_tags":["scientific-computing","numpy-based"],"use_cases":["Add specialized scientific computing routines to numpy-based data analysis pipelines.","Access compiled C/Fortran implementations of mathematical operations for performance-critical sections.","Supplement numpy in research workflows that require miscellaneous utility functions.","Build scientific applications on Linux, macOS, or Windows with pre-built binary wheels."],"what_it_does":"scikit-misc is a collection of utility functions for scientific computing and data analysis, written in Python with performance-critical sections implemented in C and Fortran. It depends only on numpy and targets researchers and engineers who need supplementary tools beyond what numpy alone provides. The package is distributed as pre-compiled wheels for modern Python versions (3.10\u20133.14) on macOS, Windows, and Linux, reducing installation friction for most users.\n\nThe package has been in development since 2016 and maintains broad platform support. Its aging maintenance status (last release 284 days ago) suggests it is stable but not actively evolving; it is suitable for projects that need a stable set of scientific utilities rather than rapid feature development.","worth_installing":"Yes, if you need miscellaneous scientific computing utilities beyond numpy and are comfortable with a stable, aging package. The BSD license is permissive, wheels are widely available, and there are no known vulnerabilities. The 284-day gap since the last release suggests the package is mature but not under active development; install it for stable functionality, not for ongoing feature additions."},"id":"scikit-misc","links":{"html":"https://skillfed.io/packages/scikit-misc","md":"https://skillfed.io/packages/scikit-misc.md","pypi":"https://pypi.org/project/scikit-misc/"},"maintenance":{"status":"aging"},"meta":{"latest_release":"2025-11-03","license_spdx":null,"license_treatment":"permissive","name":"scikit-misc","python_support":"supports_current","summary":"Miscellaneous tools for scientific computing."},"popularity":{"monthly_downloads":167555,"position":10467,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.5.2"}