{"categories":[{"label":"Mathematics","url":"https://skillfed.io/packages/category/scientific-engineering-mathematics/3"}],"enrichment":{"capability":"Provides high-precision implementations of error functions (erf, erfc, erfcx) and normal distribution functions (PDF, CDF, inverse CDF) using W.J. Cody's rational Chebyshev approximations.","skillfed_tags":["special-functions","numerical-methods","statistics"],"use_cases":["Computing error function values in signal processing or physics simulations requiring Cody's approximation method.","Evaluating normal distribution CDF and quantiles in statistical analysis or hypothesis testing workflows.","Quantitative finance applications needing precise inverse normal CDF for option pricing or risk models.","Replacing scipy.special calls when a lightweight, dependency-free implementation is preferred.","Implementing algorithms that explicitly require Cody's rational Chebyshev approximations for reproducibility."],"what_it_does":"cody-special is a pure-Python library that implements error functions and normal distribution functions using W.J. Cody's rational Chebyshev approximation method from 1969. It provides erf, erfc, erfcx (scaled complementary error function), and standard normal PDF, CDF, and inverse CDF functions. The package has no external runtime dependencies and installs as a simple wheel.\n\nThe library is designed for applications requiring high-precision special function evaluation\u2014particularly in quantitative finance, statistics, and scientific computing where accurate error and normal distribution calculations are critical. It is a stable, single-release package with no known vulnerabilities, making it suitable for incorporation into production systems where the specific approximation method or numerical properties are required.","worth_installing":"Yes, if you need high-precision error or normal distribution functions and prefer a lightweight, dependency-free implementation. The package is stable and permissively licensed. Install with caution if you expect active maintenance\u2014it is aging with no recent development activity, so treat it as a mature, self-contained tool rather than an actively evolving library."},"id":"cody-special","links":{"html":"https://skillfed.io/packages/cody-special","md":"https://skillfed.io/packages/cody-special.md","pypi":"https://pypi.org/project/cody-special/"},"maintenance":{"status":"aging"},"meta":{"latest_release":"2026-01-13","license_spdx":null,"license_treatment":"permissive","name":"cody-special","python_support":"supports_current","summary":"High-precision error functions and normal distribution (Cody's algorithm)"},"popularity":{"monthly_downloads":158052,"position":10737,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"1.0.0"}