{"library":"kafe2","type":"library","category":null,"description":"kafe2 (Karlsruhe Fit Environment 2) is an open-source Python package (current version 2.11.0) for likelihood-based parameter estimation and elementary data analysis. Primarily used for fitting models to measured data and visualizing results, it provides a user-friendly interface for state-of-the-art statistical methods, relying on established numerical and optimization libraries like NumPy and SciPy. The library aims to offer an easy-to-use and performance-optimized pipeline for data analysis, including parameter confidence intervals and publication-quality plots. It typically sees a few releases per year.","language":"python","status":"active","version":"2.11.0","tags":["fitting","data-analysis","physics","statistics","maximum-likelihood","least-squares","plotting"],"last_verified":"Sat May 23","install":[{"cmd":"pip install kafe2","imports":["import kafe2","from kafe2 import XYFit, Plot, XYContainer, ContoursProfiler"]}],"homepage":"https://philfitters.github.io/kafe2/","github":"https://github.com/PhiLFitters/kafe2","docs":null,"changelog":null,"pypi":"https://pypi.org/project/kafe2/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":100,"avg_install_s":16.6,"avg_import_s":6.85,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/kafe2/compatibility"}}