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awslabs
gluonts

Probabilistic time series modeling in Python

3.7M 5K 818
amazon-science
chronos-forecasting

Chronos: Pretrained Models for Time Series Forecasting

928K 5K 625
Nixtla
hierarchicalforecast

Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.

344K 743 97
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 🚀.

122K 4K 323
skforecast
skforecast

Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models

103K 1K 187
elastic
eland

Python Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch

46K 693 109
autogluon
fev

Forecast evaluation library

25K 158 16
liam-sbhoo
tabpfn-time-series

Zero-shot Time Series Forecasting with TabPFN (work accepted at NeurIPS 2024 TRL and TSALM workshops)

16K 385 45
moment-timeseries-foundation-model
momentfm

MOMENT: A Family of Open Time-series Foundation Models, ICML'24

7K 756 107
Nixtla
nixtlats

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 🚀.

4K 4K 323
amazon-science
timecopilot-chronos-forecasting

Chronos: Pretrained Models for Time Series Forecasting

3K 5K 625
nla-group
fabba

An efficient symbolic time series approximation with ABBA.

3K 51 12
google
timecast-nightly

Performant, composable online learning

2K 16 2
lucidrains
itransformer

Unofficial implementation of iTransformer - SOTA Time Series Forecasting using Attention networks, out of Tsinghua / Ant group

2K 536 38
BirchKwok
pipelinets

⚡ Simplest TimeSeries forecasting + AutoML. Preprocess → Predict.

2K 11 1
BirchKwok
spinests

spinesTS, a powerful toolset for time series prediction, is one of the cornerstones of PipelineTS.

2K 45 9
DaviAlcanfor
hybridts

Hybrid time series forecasting library combining Prophet with gradient boosting models

2K 0 0
yotambraun
apdtflow

APDTFlow is a modern and extensible forecasting framework for time series data that leverages advanced techniques including neural ordinary differential equations (Neural ODEs), transformer-based components, and probabilistic modeling. Its modular design allows researchers and practitioners to experiment with multiple forecasting models and easily

1K 43 5
akomarla
expsmoothing

A simple introduction to statistical learning for time-series forecasting using the Holt Simple Exponential Smoothing method

1K 1 0
LSB-dev
padelf

This PyPi (pip) package gives you access to the most well-known time series datasets for electric load forecasting (and related tasks)

1K 2 0
DILiS-lab
simba-ml

Simulation-Based Machine Learning

907 8 3
VincentSch4rf
pytorchtime

A time series package for PyTorch

902 7 0
K-Ibadullaev
py-ssa-lib

Py-SSA-Lib: Python implementation of the multichannel singular spectrum analysis (MSSA) and singular spectrum analysis (SSA)

792 14 1
himura467
multimodal-timesfm

Multimodal extension of Google's TimesFM for time series forecasting with text

710 6 0
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