scores
scores: A Python package for verifying and evaluating models and predictions with xarray - Published in JOSS (2024)
cfdm
cfdm: A Python reference implementation of the CF data model - Published in JOSS (2020)
forestatrisk
forestatrisk: a Python package for modelling and forecasting deforestation in the tropics - Published in JOSS (2021)
ChainoPy
ChainoPy: A Python Library for Discrete Time Markov Chain Based Stochastic Analysis - Published in JOSS (2024)
ewstools
ewstools: A Python package for early warning signals of bifurcations in time series data - Published in JOSS (2023)
flusight
flusight: interactive visualizations for infectious disease forecasts - Published in JOSS (2017)
pypots
A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neural network models for scientific analysis tasks of imputation/classification/clustering/forecasting/anomaly detection/cleaning on incomplete industrial (irregularly-sampled) multivariate TS with NaN missing values
climpred
climpred: Verification of weather and climate forecasts - Published in JOSS (2021)
statsmodels
Statsmodels: statistical modeling and econometrics in Python
skforecast
Time series forecasting with machine learning models
macpan2
Tools for building and calibrating compartmental models of infectious disease.
forecast-tools
forecast_tools provides fundamental tools to support the forecasting process in python
chronos-forecasting
Chronos: Pretrained Models for Probabilistic Time Series Forecasting
sars-cov-2-nowcasting_und_-r-schaetzung
Das Nowcasting erstellt eine Schätzung des Verlaufs der Anzahl von bereits erfolgten SARS-CoV-2-Erkrankungsfällen in Deutschland unter Berücksichtigung des Diagnose-, Melde- und Übermittlungsverzugs.
https://github.com/awslabs/gluonts
Probabilistic time series modeling in Python
https://github.com/unit8co/darts
A python library for user-friendly forecasting and anomaly detection on time series.
https://github.com/sktime/pytorch-forecasting
Time series forecasting with PyTorch
pmdarima
A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.
openstef
Automated Machine Learning pipelines. Builds the Open Short Term Energy Forecasting package.
https://github.com/ourownstory/neural_prophet
NeuralProphet: A simple forecasting package
https://github.com/nixtla/neuralforecast
Scalable and user friendly neural :brain: forecasting algorithms.
predictive-maintenance-on-cable-joints
A project for predictive maintenance of cable joints within Alliander's electricity grid. This project is executed by Sioux Technologies with supervision from Wageningen University for Alliander.
https://github.com/timeseriesai/tsai
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
https://github.com/mikekeith52/scalecast
The practitioner's forecasting library
mvgam
{mvgam} R 📦 to fit Dynamic Bayesian Generalized Additive Models for multivariate modeling and forecasting
hydrotools
Suite of tools for retrieving USGS NWIS observations and evaluating National Water Model (NWM) data.
https://github.com/nixtla/nixtla
TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.
https://github.com/nixtla/hierarchicalforecast
Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
memts
R package implementing Multivariate Error Measures for time series forecasting
https://github.com/salesforce/merlion
Merlion: A Machine Learning Framework for Time Series Intelligence
forecasting-course
Morgan Ernest & Ethan White's Ecological Forecasting & Dynamics Course
prophet
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
https://github.com/biolab/orange3-timeseries
🍊 :chart_with_upwards_trend: Orange add-on for analyzing, visualizing, manipulating, and forecasting time series data.
dbnr
Gaussian dynamic Bayesian networks structure learning and inference based on the bnlearn package
https://github.com/business-science/modeltime
Modeltime unlocks time series forecast models and machine learning in one framework
mm4benchmark
R package implementing the multivariate (multi-univariate) extension of the benchmarks used for the M
https://github.com/microsoft/finnts
Microsoft Finance Time Series Forecasting Framework (FinnTS) is a forecasting package that utilizes cutting-edge time series forecasting and parallelization on the cloud to produce accurate forecasts for financial data.
https://github.com/business-science/timetk
Time series analysis in the `tidyverse`
awips2
Weather forecasting display and analysis package developed by NWS/Raytheon, released as open source software by Unidata.
https://github.com/royalhaskoningdhv/sam
Python package for time series analysis and machine learning
https://github.com/longxingtan/time-series-prediction
tfts: Time Series Deep Learning Models in TensorFlow
https://github.com/nixtla/statsforecast
Lightning ⚡️ fast forecasting with statistical and econometric models.
forestatrisk-tropics
:earth_africa: :pencil: Modelling and forecasting deforestation in the tropics
https://github.com/zillow/luminaire
Luminaire is a python package that provides ML driven solutions for monitoring time series data.
https://github.com/lampspuc/statespacemodels.jl
StateSpaceModels.jl is a Julia package for time-series analysis using state-space models.
https://github.com/unidata/python-awips
A framework for querying AWIPS meteorological datasets from an EDEX Data Server.
https://github.com/nixtla/mlforecast
Scalable machine 🤖 learning for time series forecasting.
https://github.com/cdcgov/ww-inference-model
An in-development R package and a Bayesian hierarchical model jointly fitting multiple "local" wastewater data streams and "global" case count data to produce nowcasts and forecasts of both observations
ncdssm
PyTorch implementation of the NCDSSM models presented in the ICML '23 paper "Neural Continuous-Discrete State Space Models for Irregularly-Sampled Time Series".
solxpect
Android app to forecast the output of your photovoltaic system (PV) or balcony pv using data from Open-Meteo.com. Even shading and the temperature coefficient are taken into account.
https://github.com/nixtla/tsfeatures
Calculates various features from time series data. Python implementation of the R package tsfeatures.
https://github.com/cdcgov/forecasttools-py
A Python package for common pre- and post-processing operations done by CFA Predict for short term forecasting, nowcasting, and scenario modeling.
physalia-forecasting-course
Ecological forecasting using Dynamic Generalized Additive Models with R 📦's {mvgam} and {brms}
https://github.com/functime-org/functime
Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.
https://github.com/business-science/modeltime.ensemble
Time Series Ensemble Forecasting
https://github.com/alexhallam/tablespoon
🥄✨Time-series Benchmark methods that are Simple and Probabilistic
https://github.com/cerlymarco/tspiral
A python package for time series forecasting with scikit-learn estimators.
https://github.com/sky-uk/anticipy
A Python library for time series forecasting
https://github.com/artefactory/streamlit_prophet
Streamlit app to train, evaluate and optimize a Prophet forecasting model.
https://github.com/awslabs/sagemaker-deep-demand-forecast
Using Deep Learning for Demand Forecasting with Amazon SageMaker
https://github.com/aariq/efi-2022-phenocam
Phenocam forecasting challenge done as part of the NEFI short course in 2020 https://ecoforecast.org/nefi2022/
https://github.com/cosbidev/matnet
Multi-Level Fusion and Self-Attention Transformer-Based Model for Multivariate Multi-Step Day-Ahead PV Generation Forecasting
portalcasting
portalcasting: Supporting automated forecasting of rodent populations - Published in JOSS (2022)
https://github.com/agroscope-ch/plasmopy
Infection prediction modeling of Plasmopara viticola life cycle stages in vineyards using weather data. This project represents a revisited and customizable Python version of the VitiMeteo-Plasmopara model in use at Agroscope (Switzerland) and the Weinbauinstitut (Germany) for downy mildew infection forecasting.
tutorials-middle
Tutorials to learn real-time analysis that includes accessing epidemiological delays, estimating transmission metrics, forecasting, and severity from aggregated incidence data, superspreading from line list and contact data, and simulating transmission chains.
https://github.com/Techtonique/techtonique-apis
High level Python functions for interacting with Techtonique forecasting API
https://github.com/cdcgov/rsv-forecast-hub
A repository run by the Centers for Disease Control and Prevention (CDC) to collect forecasts of weekly incident respiratory syncytial virus (RSV) hospitalizations.
https://github.com/yotambraun/apdtflow
APDTFlow: A Modular Forecasting Framework for Time Series Data
LongMemory.jl
LongMemory.jl: Generating, Estimating, and Forecasting Long Memory Models in Julia - Published in JOSS (2025)
pecan
The Predictive Ecosystem Analyzer (PEcAn) is an integrated ecological bioinformatics toolbox.