{"library":"dscribe","type":"library","category":null,"description":"DScribe is a Python package (current version 2.1.2) designed for generating fixed-size numerical fingerprints, known as descriptors, from atomic structures. These descriptors are crucial for various applications in materials science, including machine learning, visualization, and similarity analysis. The library maintains an active development status with regular updates, including new descriptors and derivative functionalities. [1, 2, 5]","language":"python","status":"active","version":"2.1.2","tags":["materials science","machine learning","descriptors","atomistic simulations","cheminformatics","physics","ASE"],"last_verified":"Tue May 26","install":[{"cmd":"pip install dscribe","imports":["from dscribe.descriptors import SOAP","from dscribe.descriptors import CoulombMatrix","from dscribe.descriptors import ACSF","from dscribe.descriptors import MBTR"]},{"cmd":"conda install -c conda-forge dscribe","imports":[]},{"cmd":"git clone https://github.com/SINGROUP/dscribe.git\ncd dscribe\ngit submodule update --init\npip install .","imports":[]}],"homepage":"https://singroup.github.io/dscribe/","github":null,"docs":"https://singroup.github.io/dscribe/latest/","changelog":null,"pypi":"https://pypi.org/project/dscribe/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":50,"avg_install_s":18.4,"avg_import_s":3.94,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/dscribe/compatibility"}}