{"library":"utilsforecast","type":"library","category":null,"description":"Utilsforecast provides essential helper functions for time series forecasting workflows, forming a core part of the Nixtlaverse ecosystem alongside libraries like StatsForecast, MLForecast, and NeuralForecast. It offers utilities for data preprocessing, feature engineering, evaluation, and plotting. The library is actively maintained with frequent releases, typically addressing bug fixes, performance enhancements, and new metric/feature additions.","language":"python","status":"active","version":"0.2.15","tags":["forecasting","time series","utilities","data preprocessing","evaluation","plotting","nixtla"],"last_verified":"Wed May 20","install":[{"cmd":"pip install utilsforecast","imports":["from utilsforecast.preprocessing import fill_gaps","from utilsforecast.evaluation import evaluate","from utilsforecast.losses import mape","from utilsforecast.data import generate_series","from utilsforecast.plotting import plot_series"]},{"cmd":"conda install -c conda-forge utilsforecast","imports":[]}],"homepage":null,"github":"https://github.com/Nixtla/utilsforecast","docs":"https://nixtlaverse.verse.io/utilsforecast","changelog":null,"pypi":"https://pypi.org/project/utilsforecast/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":100,"avg_install_s":8.4,"avg_import_s":1.01,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/utilsforecast/compatibility"}}