{"type":"ScholarlyArticle","title":"Tsururu: A Python-based Time Series Forecasting Strategies Library","authors":[{"name":"Alina Kostromina","slug":"alina-kostromina","given":"Alina","family":"Kostromina","affiliation":""},{"name":"Kseniia Kuvshinova","slug":"kseniia-kuvshinova","given":"Kseniia","family":"Kuvshinova","affiliation":""},{"name":"Aleksandr Yugay","slug":"aleksandr-yugay","given":"Aleksandr","family":"Yugay","affiliation":""},{"name":"Andrey Savchenko","slug":"andrey-savchenko","given":"Andrey","family":"Savchenko","affiliation":""},{"name":"Dmitry Simakov","slug":"dmitry-simakov","given":"Dmitry","family":"Simakov","affiliation":""}],"abstract":"While current time series research focuses on developing new models, crucial questions of selecting an optimal approach for training such models are underexplored. Tsururu, a Python library introduced in this paper, bridges SoTA research and industry by enabling flexible combinations of global and multivariate approaches and multi-step-ahead forecasting strategies. It also enables seamless integration with various forecasting models. Available at https://github.com/sb-ai-lab/tsururu.","doi":"10.24963/ijcai.2025/1266","url":"https://ijcai.org/proceedings/2025/1266","pdf":"https://ijcai.org/proceedings/2025/1266.pdf","markdown":"https://ijcai.org/proceedings/2025/1266.md","bibtex":"https://ijcai.org/proceedings/2025/bibtex/1266","volume":{"slug":"2025","title":"Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2025","url":"https://ijcai.org/proceedings/2025/","year":2025,"location":"Montreal, Canada","dates":"16-22 August 2025","editors":"James Kwok","isbn":"978-1-956792-06-5","publisher":"International Joint Conferences on Artificial Intelligence Organization","doi_prefix":"10.24963/ijcai.2025"},"section":"Demo Track","track":"Demo Track","number":1266,"pages":{"first":11077,"last":11081},"keywords":["Data Mining: DM: Mining spatial and/or temporal data","Machine Learning: ML: Time series and data streams"],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}