Awesome Data Analysis
Section: Tools · A procedure for forecasting time series data based on an additive model.
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Appears in 6 awesome lists
Python - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
Section: Tools · A procedure for forecasting time series data based on an additive model.
Section: Time Series · Automatic Forecasting Procedure.
Section: Time Series Analysis · Python - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
Section: TimeSeries Analysis · Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
Section: Data Science and Analytics · Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
Section: TimeSeries Analysis · Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
Visualize time series (from sources such as: MQTT, Websockets, ZeroMQ, UDP, etc., supports data formats such as JSON, CBOR, BSON, Message Pack, etc.). It is a fast, powerful and intuitive cross-platform tool.
Python library for automatic extraction of relevant features from time series.
🆓 Python library for user-friendly forecasting and anomaly detection on time series, stewarded by Unit8 SA which only sells consulting around it (no paid library tier). Wraps a huge number of models, including Prophet. Great for experiments, but bear in mind that all the models in Darts expects…
Pretrained time series foundation model for long-horizon forecasting across diverse scientific domains including climate variables, biomedical signals, and physical observations; decoder-only Transformer architecture with strong zero-shot generalization (19.8K+ stars, Apache 2.0, 2024-2025)
ML powered analytics engine for outlier/anomaly detection and root cause analysis..
🆓 Python library for time-series machine learning, governed by the Alan Turing Institute. See the forecasting tutorial and the differences between sktime and the Prophet project.