{"id":37633365,"url":"https://github.com/fernandezfran/macchiato","last_synced_at":"2026-01-16T11:00:39.574Z","repository":{"id":211972209,"uuid":"601297242","full_name":"fernandezfran/macchiato","owner":"fernandezfran","description":":atom_symbol::robot: Data-driven nearest neighbor models for predicting experimental results on silicon lithium-ion battery anodes","archived":false,"fork":false,"pushed_at":"2023-12-15T19:11:24.000Z","size":731,"stargazers_count":2,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-09-05T19:24:43.635Z","etag":null,"topics":["clustering","data-driven","inference","model","nearest-neighbors"],"latest_commit_sha":null,"homepage":"https://macchiato.rtfd.io/","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/fernandezfran.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":"CITATION.bib","codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null}},"created_at":"2023-02-13T19:19:28.000Z","updated_at":"2024-02-29T13:22:28.000Z","dependencies_parsed_at":"2023-12-15T20:29:37.575Z","dependency_job_id":"bd3dd398-43dc-49e7-b231-e007d3ebe12d","html_url":"https://github.com/fernandezfran/macchiato","commit_stats":null,"previous_names":["fernandezfran/macchiato"],"tags_count":1,"template":false,"template_full_name":null,"purl":"pkg:github/fernandezfran/macchiato","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/fernandezfran%2Fmacchiato","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/fernandezfran%2Fmacchiato/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/fernandezfran%2Fmacchiato/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/fernandezfran%2Fmacchiato/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/fernandezfran","download_url":"https://codeload.github.com/fernandezfran/macchiato/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/fernandezfran%2Fmacchiato/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":28478106,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-01-16T06:30:42.265Z","status":"ssl_error","status_checked_at":"2026-01-16T06:30:16.248Z","response_time":107,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["clustering","data-driven","inference","model","nearest-neighbors"],"created_at":"2026-01-16T11:00:23.900Z","updated_at":"2026-01-16T11:00:39.567Z","avatar_url":"https://github.com/fernandezfran.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# macchiato\n\n[![macchiatos CI](https://github.com/fernandezfran/macchiato/actions/workflows/CI.yml/badge.svg)](https://github.com/fernandezfran/macchiato/actions/workflows/CI.yml)\n[![documentation status](https://readthedocs.org/projects/macchiato/badge/?version=latest)](https://macchiato.readthedocs.io/en/latest/?badge=latest)\n[![pypi version](https://img.shields.io/pypi/v/macchiato)](https://pypi.org/project/macchiato/)\n[![python version](https://img.shields.io/badge/python-3.8%2B-4584b6)](https://www.python.org/)\n[![mit license](https://img.shields.io/badge/License-MIT-ffde57)](https://github.com/fernandezfran/macchiato/blob/main/LICENSE)\n[![PRB](https://img.shields.io/badge/PhysRevB-108.144201-b31033)](https://doi.org/10.1103/PhysRevB.108.144201)\n\nData-driven nearest neighbor models for predicting experimental results on \nsilicon lithium-ion battery anodes.\n\n## Requirements\n\nYou need Python 3.8+ to run macchiato.\n\n\n## Installation\n\nYou can install the most recent stable release of macchiato with \n[pip](https://pip.pypa.io/en/latest/)\n\n```\npython -m pip install -U pip\npython -m pip install -U macchiato\n```\n\n\n## Usage\n\nThe Jupyter Notebook pipeline in the \n[paper folder](https://github.com/fernandezfran/macchiato/tree/main/paper) \nis presented to reproduce the results of the published article.\n\n\n## Citation\n\n\u003e Fernandez, F., Otero, M., Oviedo, M. B., Barraco, D. E., Paz, S. A., \u0026 Leiva, \n\u003e E. P. M. (2023). NMR, x-ray, and Mössbauer results for amorphous Li-Si alloys \n\u003e using density functional tight-binding method. Physical Review B, 108(14), 144201. \n\nBibTeX entry:\n\n```bibtex\n@article{fernandez2023nmr,\n  title={NMR, x-ray, and M{\\\"o}ssbauer results for amorphous Li-Si alloys using density functional tight-binding method},\n  author={Fernandez, F and Otero, M and Oviedo, MB and Barraco, DE and Paz, SA and Leiva, EPM},\n  journal={Physical Review B},\n  volume={108},\n  number={14},\n  pages={144201},\n  year={2023},\n  publisher={APS}\n}\n```\n\n\n## Contact\n\nYou can contact me if you have any questions at \u003cffernandev@gmail.com\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffernandezfran%2Fmacchiato","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ffernandezfran%2Fmacchiato","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffernandezfran%2Fmacchiato/lists"}