{"library":"jacobi","type":"library","category":null,"description":"Jacobi is a lightweight Python library designed for fast and robust computation of generalized Jacobi matrices (numerical derivatives) for arbitrary real analytic mappings. It supports functions with large round-off errors and offers significant speed improvements over other numerical differentiation tools. The current version is 0.9.2, and it typically releases updates as needed.","language":"python","status":"active","version":"0.9.2","tags":["numerical derivatives","jacobian","error propagation","scientific computing","numpy"],"last_verified":"Fri May 22","install":[{"cmd":"pip install jacobi","imports":["from jacobi import jacobi","from jacobi import propagate"]}],"homepage":null,"github":"https://github.com/hdembinski/jacobi","docs":"https://hdembinski.github.io/jacobi/","changelog":null,"pypi":"https://pypi.org/project/jacobi/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":100,"avg_install_s":3.6,"avg_import_s":0.26,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/jacobi/compatibility"}}