{"library":"clarabel","type":"library","category":null,"description":"Clarabel is an interior point numerical solver for convex optimization problems, implemented in Rust and featuring a Python interface. It efficiently solves a variety of conic programs including Linear Programs (LPs), Quadratic Programs (QPs), Second-Order Cone Programs (SOCPs), Semidefinite Programs (SDPs), and problems with exponential and power cone constraints. The current version is 0.11.1, and the library maintains an active release cadence.","language":"python","status":"active","version":"0.11.1","tags":["optimization","solver","conic programming","quadratic programming","SOCP","SDP","convex optimization","interior point method"],"last_verified":"Wed May 20","install":[{"cmd":"pip install clarabel","imports":["import clarabel","import numpy as np","from scipy import sparse","clarabel.DefaultSolver","clarabel.__version__"]}],"homepage":"https://clarabel.org","github":"https://github.com/oxfordcontrol/Clarabel.rs","docs":null,"changelog":null,"pypi":"https://pypi.org/project/clarabel/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":50,"avg_install_s":7.5,"avg_import_s":0,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/clarabel/compatibility"}}