{"categories":[{"label":"Mathematics","url":"https://skillfed.io/packages/category/scientific-engineering-mathematics/3"}],"enrichment":{"capability":"Builds confidence intervals from data samples using bootstrap resampling, with support for A/B testing and statistical power analysis.","skillfed_tags":["statistics","bootstrap-resampling","abandoned"],"use_cases":["Compute error bars and confidence bounds for A/B test results to quantify improvement uncertainty","Estimate population statistics from sample data with confidence intervals","Perform statistical power analysis to determine required sample sizes for experiments","Validate hypothesis test results by bootstrapping to understand sampling variation"],"what_it_does":"bootstrapped is a statistical library that computes confidence intervals by resampling data with replacement and analyzing the resulting distributions. It implements pivotal and percentile-based bootstrap methods to estimate error bars and bounds on population statistics from sample data. The library is designed for A/B testing and hypothesis validation, where you need to quantify uncertainty around observed metrics like conversion rates or mean values.\n\nThe package provides functions to calculate confidence intervals for single populations and comparative tests, plus statistical power analysis. It supports multithreaded computation and both dense and sparse arrays. However, the project has been abandoned since 2018-10-17, with no updates to handle modern Python or dependency versions, and license terms are not clearly specified in the package metadata.","worth_installing":"No. The package is abandoned (last release 2018-10-17, repository archived) with no maintenance or security updates. High install friction from source-only distribution. License terms are unclear in metadata. Unless you are working with legacy code already using this package, choose an actively maintained alternative for bootstrap statistics."},"id":"bootstrapped","links":{"html":"https://skillfed.io/packages/bootstrapped","md":"https://skillfed.io/packages/bootstrapped.md","pypi":"https://pypi.org/project/bootstrapped/"},"maintenance":{"status":"abandoned"},"meta":{"latest_release":"2018-10-17","license_spdx":null,"license_treatment":"unclear","name":"bootstrapped","python_support":"unspecified","summary":"Implementations of the percentile based bootstrap"},"popularity":{"monthly_downloads":87955,"position":13760,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.0.2"}