{"library":"darts","type":"library","category":null,"description":"Darts is a Python library for user-friendly forecasting and anomaly detection on time series. It offers a unified API for a wide range of models, from classical statistical methods like ARIMA to advanced deep learning architectures such as LSTM and Transformers. The library also includes tools for model evaluation, backtesting, handling multiple time series, and incorporating external covariates. It is actively maintained with frequent minor releases, typically on a monthly basis. [1, 2, 4, 9, 11, 13, 16, 22]","language":"python","status":"active","version":"0.43.0","tags":["time-series","forecasting","machine-learning","deep-learning","anomaly-detection","pytorch"],"install":[{"cmd":"pip install darts","imports":["from darts import TimeSeries","from darts.models import ARIMA","from darts.models import ExponentialSmoothing"]}],"homepage":"https://unit8co.github.io/darts/","github":"https://github.com/unit8co/darts","docs":"https://unit8co.github.io/darts/","changelog":null,"pypi":"https://pypi.org/project/darts/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":40,"avg_install_s":29.1,"avg_import_s":1.25,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/darts/compatibility"},"provenance":{"verified_status":"install_fail","verified_at":"Sun Jun 28","last_verified":"Sun Jun 28","next_check":"Sun Jul 05","install_tag":null}}