{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/pylle-a-fast-and-user-friendly-lugiato","title":"pyLLE: a Fast and User Friendly Lugiato-Lefever Equation Solver","arxiv_id":"1903.10441","date":"2019-03-22","proceeding":null,"authors":["Gregory Moille","Qing Li","Xiyuan Lu","Kartik Srinivasan"],"abstract":"We present the development of pyLLE, a freely accessible and cross-platform Lugiato-Lefever equation solver programmed in Python and Julia and optimized for the simulation of microresonator frequency combs. Examples illustrating its operation, the simplicity of use, and performance against other programming language are presented. The documentation of the software can be found at https://gregmoille.github.io/pyLLE/","url_abs":"http://arxiv.org/abs/1903.10441v1","url_pdf":"http://arxiv.org/pdf/1903.10441v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"links_only","authors_date_abstract":"arXiv metadata, CC0 1.0 (https://info.arxiv.org/help/license), from the Kaggle arXiv metadata snapshot of 2026-09-12"},"code_links":[{"paper_slug":"pylle-a-fast-and-user-friendly-lugiato","repo_url":"https://github.com/gregmoille/pyLLE","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}