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Facebook Prophet

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.

Open github.comfacebook/prophet

Found in these lists

Awesome Data Analysis

Section: Tools · A procedure for forecasting time series data based on an additive model.

FreshScore 80

Awesome Python Data Science

Section: Time Series · Automatic Forecasting Procedure.

ActiveScore 71

Awesome Quant

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.

FreshScore 91

Libraries and packages

Section: TimeSeries Analysis · Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

FreshScore 86

awesome-python

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.

FreshScore 81

Awesome Systematic Trading

Section: TimeSeries Analysis · Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

FreshScore 89

PlotJuggler

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.

In 8 listsDetails

tsfresh

Python library for automatic extraction of relevant features from time series.

In 7 listsDetails

Darts

🆓 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…

In 6 listsDetails

TimesFM (Google Research)

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)

In 5 listsDetails

Chaos Genius

ML powered analytics engine for outlier/anomaly detection and root cause analysis..

In 5 listsDetails

sktime

🆓 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.

In 4 listsDetails

pmdarima

Python - A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.

In 4 listsDetails

GluonTS

Probabilistic time series modeling with deep learning. Powers Amazon SageMaker forecasting with PyTorch and MXNet backends. Apache 2.0 licensed.

In 4 listsDetails