{"library":"fairchem-core","type":"library","category":null,"description":"fairchem-core is the core package of the FAIR Chemistry library, providing machine learning models (e.g., GemNet-OC, DimeNet++) for chemistry and materials science. Version 2.19.0 supports Python 3.11 to 3.13. The library is actively maintained and released every few months.","language":"python","status":"active","version":"2.19.0","tags":["chemistry","materials science","machine learning","neural networks","OC20"],"last_verified":"Sat May 09","install":[{"cmd":"pip install fairchem-core","imports":["from fairchem.core.datasets import OC20Dataset"]}],"homepage":"https://opencatalystproject.org/","github":"https://github.com/facebookresearch/fairchem","docs":"https://fair-chem.github.io/","changelog":null,"pypi":"https://pypi.org/project/fairchem-core/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":null}