{"id":26700,"library":"ai4ts","title":"AI4TS","description":"AI4TS (AI for Time Series) is a Python library for time series forecasting, classification, and anomaly detection using deep learning. Current version: 0.0.3, released 2023-11. The library is in early development with frequent releases.","status":"active","version":"0.0.3","language":"python","source_language":"en","source_url":"https://github.com/WenjieDu/AI4TS","tags":["time-series","forecasting","deep-learning","classification","anomaly-detection"],"install":[{"cmd":"pip install ai4ts","lang":"bash","label":"Install from PyPI"}],"dependencies":[{"reason":"Deep learning backend","package":"torch","optional":false},{"reason":"Data manipulation","package":"numpy","optional":false}],"imports":[{"note":"TSDataset is under datasets submodule","wrong":"from ai4ts import TSDataset","symbol":"TSDataset","correct":"from ai4ts.datasets import TSDataset"},{"note":"Model classes are under models submodule","wrong":"from ai4ts import TimeSeriesForecaster","symbol":"TimeSeriesForecaster","correct":"from ai4ts.models import TimeSeriesForecaster"}],"quickstart":{"code":"from ai4ts.datasets import TSDataset\nfrom ai4ts.models import TimeSeriesForecaster\nimport torch\n\ndataset = TSDataset()\nX, y = dataset.load_data('airline')\nmodel = TimeSeriesForecaster(input_size=1, hidden_size=64, num_layers=2)\nmodel.train(X, y, epochs=10)","lang":"python","description":"Load a sample dataset and train a simple forecaster."},"warnings":[{"fix":"Pin to exact version and monitor GitHub for changes.","message":"The library is in early alpha (v0.0.3). APIs are unstable and may change without notice.","severity":"gotcha","affected_versions":"<=0.0.3"},{"fix":"Refer to the documentation for your installed version; use `pip show ai4ts` to verify.","message":"Some dataset loading functions use a different signature in GitHub examples vs. installed version. Check version compatibility.","severity":"deprecated","affected_versions":"0.0.3"}],"env_vars":null,"search_vec":"'-11':27 '0.0.3':24 '2023':26 'ai':3 'ai4ts':1,2 'anomali':17,46 'anomaly-detect':45 'classif':15,44 'current':22 'deep':20,42 'deep-learn':41 'detect':18,47 'develop':33 'earli':32 'forecast':14,40 'frequent':35 'learn':21,43 'librari':10,29 'python':9 'releas':25,36 'seri':6,13,39 'time':5,12,38 'time-seri':37 'use':19 'version':23","created_at":"2026-05-01T17:42:25.644696+00:00","updated_at":"2026-05-01T17:42:25.644696+00:00","problems":{"verify_error":"\u001b[34m\n████████╗██╗███╗   ███╗███████╗    ███████╗███████╗██████╗ ██╗███████╗███████╗    █████╗ ██╗\n╚══██╔══╝██║████╗ ████║██╔════╝    ██╔════╝██╔════╝██╔══██╗██║██╔════╝██╔════╝   ██╔══██╗██║\n   ██║   ██║██╔████╔██║█████╗█████╗███████╗█████╗  ██████╔╝██║█████╗  ███████╗   ███████║██║\n   ██║   ██║██║"},"ecosystem":"pypi","meta_description":null,"install_score":null,"quickstart_score":null,"quickstart_tag":null,"pypi_latest":null,"cli_name":"","cli_version":null,"type":"library","homepage":"https://time-series.ai","github":"https://github.com/WenjieDu/AI4TS","docs":null,"changelog":null,"pypi":"https://pypi.org/project/ai4ts/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"categories":["ai-ml","data"],"base_url":null,"auth_type":null,"provenance":{"verified_status":"install_fail","verified_at":"2026-06-28","last_verified":"2026-06-28","next_check":"2026-07-09","install_tag":null}}