{"library":"regression","type":"library","category":null,"description":"regression-js is a JavaScript module that provides a collection of linear least-squares fitting methods for simple data analysis. It offers capabilities for linear, exponential, logarithmic, power, and polynomial regression. The current stable version is 2.0.1, last published over 8 years ago, suggesting a mature but potentially unmaintained codebase, though it remains widely used. It is a lightweight, pure JavaScript solution that runs both in Node.js and modern browsers. Unlike some broader machine learning libraries, regression-js focuses specifically on classical least-squares curve fitting, providing a straightforward API for common trend analysis tasks without external dependencies.","language":"javascript","status":"maintenance","version":"2.0.1","tags":["javascript","regression","data","fiting","modeling","analysis"],"install":[{"cmd":"npm install regression","imports":["import regression from 'regression';","import regression from 'regression'; const result = regression.linear(data);","import regression from 'regression'; const result = regression.polynomial(data, { order: 3 });"]},{"cmd":"yarn add regression","imports":[]},{"cmd":"pnpm add regression","imports":[]}],"homepage":null,"github":"https://github.com/tom-alexander/regression-js","docs":null,"changelog":null,"pypi":null,"npm":"https://www.npmjs.com/package/regression","openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"18–22","success_rate":0,"avg_install_s":null,"avg_import_s":null,"wheel_type":null},"url":"https://checklist.day/v1/registry/regression/compatibility"},"provenance":{"verified_status":null,"verified_at":null,"last_verified":"Wed Jun 17","next_check":"Sat Jul 18","install_tag":null}}