{"library":"tbats","type":"library","category":null,"description":"tbats is a Python library implementing BATS and TBATS models for time series forecasting, known for handling complex seasonality and Box-Cox transformations. The current version is 1.1.3, and it receives updates primarily for bug fixes, dependency upgrades, and occasional feature enhancements, with an irregular release cadence.","language":"python","status":"active","version":"1.1.3","tags":["time series","forecasting","tbats","bats","seasonality","box-cox"],"last_verified":"Fri May 22","install":[{"cmd":"pip install tbats","imports":["from tbats import TBATS"]}],"homepage":null,"github":"https://github.com/intive-DataScience/tbats","docs":null,"changelog":null,"pypi":"https://pypi.org/project/tbats/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":50,"avg_install_s":17.5,"avg_import_s":5.81,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/tbats/compatibility"}}