{"library":"nequip-allegro","type":"library","category":null,"description":"Allegro is an open-source Python library for building highly scalable and accurate equivariant deep learning interatomic potentials, often used in materials science and molecular dynamics. It is currently at version 0.8.2 and sees active development with frequent minor releases and occasional breaking changes in major versions.","language":"python","status":"active","version":"0.8.2","tags":["deep learning","interatomic potentials","physics","equivariant neural networks","molecular dynamics","materials science","AI for science"],"install":[{"cmd":"pip install nequip-allegro","imports":["from allegro.model import AllegroModel","from allegro.train import EMALightningModule"]},{"cmd":"pip install nequip-allegro[cu-equiv]","imports":[]}],"homepage":null,"github":"https://github.com/mir-group/allegro","docs":null,"changelog":null,"pypi":"https://pypi.org/project/nequip-allegro/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":30,"avg_install_s":81.7,"avg_import_s":24.11,"wheel_type":"sdist"},"url":"https://checklist.day/v1/registry/nequip-allegro/compatibility"},"provenance":{"verified_status":"passing","verified_at":"Sun Jun 28","last_verified":"Sun Jun 28","next_check":"Tue Jul 28","install_tag":null}}