{"library":"kim-convergence","type":"library","category":null,"description":"kim-convergence is a Python library designed to assist in the automatic detection of equilibration and control of run lengths in simulations or data streams. It provides tools to determine when a time series of data has reached a steady state or converged. The current version is 0.0.3, with releases happening infrequently as major improvements or compatibility updates are needed.","language":"python","status":"active","version":"0.0.3","tags":["scientific computing","data analysis","equilibration","convergence detection","simulation","numpy","statistics"],"last_verified":"Tue May 26","install":[{"cmd":"pip install kim-convergence","imports":["from kim_convergence import ConvergenceDetector"]}],"homepage":null,"github":"https://github.com/openkim/kim-convergence","docs":null,"changelog":null,"pypi":"https://pypi.org/project/kim-convergence/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":100,"avg_install_s":8,"avg_import_s":null,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/kim-convergence/compatibility"}}