{"library":"cotengra","type":"library","category":null,"description":"cotengra is a Python library designed for the hyper-optimized contraction of large tensor networks and einsums. It provides advanced pathfinding algorithms, including those based on hyper-optimization, to minimize computational cost (FLOPs, memory). The current version is 0.7.5, and it is actively maintained with regular releases focusing on performance enhancements, new optimization strategies, and bug fixes.","language":"python","status":"active","version":"0.7.5","tags":["tensor network","einsum","optimization","physics","quantum computing","high performance computing"],"last_verified":"Tue May 26","install":[{"cmd":"pip install cotengra","imports":["from cotengra import ContractionTree","from cotengra import HyperOptimizer","from cotengra import contract_path"]},{"cmd":"pip install cotengra[optuna,cmaes]","imports":[]}],"homepage":null,"github":"https://github.com/jcmgray/cotengra","docs":"https://cotengra.readthedocs.io/","changelog":"https://cotengra.readthedocs.io/en/latest/changelog.html","pypi":"https://pypi.org/project/cotengra/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":100,"avg_install_s":1.8,"avg_import_s":0.17,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/cotengra/compatibility"}}