Time Series Forecasting ML Frameworks

Deep learning frameworks and libraries specifically designed for time series forecasting, prediction, and analysis using neural networks and meta-learning approaches. Does NOT include general time series machine learning toolkits, changepoint detection, or time series segmentation without forecasting focus.

There are 252 time series forecasting frameworks tracked. 13 score above 70 (verified tier). The highest-rated is sktime/sktime at 98/100 with 9,628 stars and 1,138,253 monthly downloads. 8 of the top 10 are actively maintained.

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#	Framework	Score	Tier	Stars	Language
1	sktime/sktime A unified framework for machine learning with time series	98	Verified	9,628	Python
2	Nixtla/neuralforecast Scalable and user friendly neural :brain: forecasting algorithms.	91	Verified	4,003	Python
3	tslearn-team/tslearn The machine learning toolkit for time series analysis in Python	91	Verified	3,125	Python
4	aeon-toolkit/aeon A toolkit for time series machine learning and deep learning	91	Verified	1,352	Python
5	Nixtla/statsforecast Lightning ⚡️ fast forecasting with statistical and econometric models.	89	Verified	4,718	Python
6	skforecast/skforecast Time series forecasting with machine learning models	86	Verified	1,462	Python
7	Nixtla/mlforecast Scalable machine 🤖 learning for time series forecasting.	82	Verified	1,186	Python
8	timeseriesAI/tsai Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai...	80	Verified	6,010	Jupyter Notebook
9	winedarksea/AutoTS Automated Time Series Forecasting	79	Verified	1,378	Python
10	awslabs/gluonts Probabilistic time series modeling in Python	74	Verified	5,142	Python
11	WenjieDu/PyPOTS A Python toolkit/library for reality-centric machine/deep learning and data...	72	Verified	1,965	Python
12	alkaline-ml/pmdarima A statistical library designed to fill the void in Python's time series...	71	Verified	1,714	Python
13	sktime/pytorch-forecasting Time series forecasting with PyTorch	70	Verified	4,827	Python
14	antoinecarme/pyaf PyAF is an Open Source Python library for Automatic Time Series Forecasting...	69	Established	460	Python
15	WenjieDu/TSDB a Python toolbox loads 172 public time series datasets for machine/deep...	67	Established	232	Python
16	thuml/Time-Series-Library A Library for Advanced Deep Time Series Models for General Time Series Analysis.	66	Established	11,714	Python
17	mikekeith52/scalecast The practitioner's forecasting library	66	Established	350	Python
18	johannfaouzi/pyts A Python package for time series classification	63	Established	1,873	Python
19	RoyalHaskoningDHV/sam Python package for time series analysis and machine learning	62	Established	27	Python
20	lixus7/Time-Series-Works-Conferences Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI,...	61	Established	949	—
21	nla-group/fABBA A Python library for the fast symbolic approximation of time series	60	Established	50	Python
22	time-series-machine-learning/tsml-eval Evaluation tools for time series machine learning algorithms.	58	Established	55	Python
23	time-series-machine-learning/tsml-py A toolkit for time series machine learning algorithms that don't fit in...	58	Established	9	Python
24	IDA-HumanCapital/fife Finite-Interval Forecasting Engine: Machine learning models for...	57	Established	23	Python
25	Open-EO/FuseTS Time series Fusion toolbox integrated with openEO	54	Established	30	Jupyter Notebook
26	LongxingTan/Time-series-prediction tfts: Time Series Deep Learning Models in TensorFlow	54	Established	884	Python
27	zhouhaoyi/Informer2020 The GitHub repository for the paper "Informer" accepted by AAAI 2021.	53	Established	6,440	Python
28	dmbee/seglearn Python module for machine learning time series:	52	Established	581	Python
29	AIStream-Peelout/flow-forecast Deep learning PyTorch library for time series forecasting, classification,...	51	Established	2,276	Python
30	Alro10/deep-learning-time-series List of papers, code and experiments using deep learning for time series forecasting	51	Established	2,770	Jupyter Notebook
31	business-science/modeltime Modeltime unlocks time series forecast models and machine learning in one framework	50	Established	573	R
32	ddz16/TSFpaper This repository contains a reading list of papers on Time Series...	50	Established	3,097	—
33	PacktPublishing/Time-Series-Analysis-with-Python-Cookbook-Second-Edition Time Series Analysis with Python Cookbook, Second Edition - Published by Packt	49	Emerging	70	Jupyter Notebook
34	Keytoyze/VisionTS Code for our paper "VisionTS: Visual Masked Autoencoders Are Free-Lunch...	49	Emerging	275	Python
35	eddmpython/vectrix Zero-config time series forecasting for Python. 30+ models, auto selection,...	49	Emerging	14	Python
36	DaoSword/Time-Series-Forecasting-and-Deep-Learning Resources about time series forecasting and deep learning.	48	Emerging	774	—
37	decisionintelligence/DUET [KDD 2025 Most Influential Paper] DUET: Dual Clustering Enhanced...	48	Emerging	259	Python
38	uber/orbit A Python package for Bayesian forecasting with object-oriented design and...	48	Emerging	2,041	Python
39	vanderschaarlab/temporai TemporAI: ML-centric Toolkit for Medical Time Series	47	Emerging	130	Python
40	ourownstory/neural_prophet NeuralProphet: A simple forecasting package	47	Emerging	4,255	Python
41	ermshaua/claspy ClaSPy: A Python package for time series segmentation.	47	Emerging	133	Jupyter Notebook
42	PacktPublishing/Time-Series-Analysis-with-Python-Cookbook Time Series Analysis with Python Cookbook, published by Packt	46	Emerging	288	Jupyter Notebook
43	decisionintelligence/TFB [PVLDB 2024 Best Paper Nomination] TFB: Towards Comprehensive and Fair...	46	Emerging	1,669	Shell
44	HannaMeyer/CAST Developer Version of the R package CAST: Caret Applications for...	45	Emerging	131	R
45	adamvvu/tsfracdiff Efficient and easy to use fractional differentiation transformations for...	45	Emerging	22	Python
46	Time-MoE/Time-MoE [ICLR 2025 Spotlight] Official implementation of "Time-MoE: Billion-Scale...	45	Emerging	926	Python
47	BirchKwok/PipelineTS The simplest time series forecasting tool, supporting time series data...	45	Emerging	11	Jupyter Notebook
48	TsLu1s/tsforecasting TSForecasting: Automated Time Series Forecasting Framework	44	Emerging	30	Python
49	Techtonique/ahead Univariate and multivariate time series forecasting, with uncertainty...	44	Emerging	23	R
50	aqibsaeed/Multilabel-timeseries-classification-with-LSTM Tensorflow implementation of paper: Learning to Diagnose with LSTM...	44	Emerging	574	Jupyter Notebook
51	thuml/Autoformer About Code release for "Autoformer: Decomposition Transformers with...	44	Emerging	2,426	Jupyter Notebook
52	hfawaz/InceptionTime InceptionTime: Finding AlexNet for Time Series Classification	44	Emerging	734	Python
53	hfawaz/dl-4-tsc Deep Learning for Time Series Classification	44	Emerging	1,657	Python
54	trainindata/feature-engineering-for-time-series-forecasting Code repository for the online course "Feature Engineering for Time Series...	44	Emerging	200	Jupyter Notebook
55	philipperemy/n-beats Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for...	43	Emerging	903	Python
56	Ladbaby/PyOmniTS 🔬 A Researcher-Friendly Framework for Time Series Analysis. Train Any Model...	43	Emerging	47	Python
57	X-DataInitiative/tick Module for statistical learning, with a particular emphasis on...	43	Emerging	541	Python
58	maxim5/time-series-machine-learning Machine learning models for time series analysis	43	Emerging	379	Python
59	White-Link/UnsupervisedScalableRepresentationLearningTimeSeries Unsupervised Scalable Representation Learning for Multivariate Time Series:...	43	Emerging	406	Jupyter Notebook
60	ajayarunachalam/Deep_XF Package towards building Explainable Forecasting and Nowcasting Models with...	43	Emerging	118	Jupyter Notebook
61	kwuking/TimeMixer [ICLR 2024] Official implementation of "TimeMixer: Decomposable Multiscale...	42	Emerging	1,889	Python
62	thuml/Nonstationary_Transformers Code release for "Non-stationary Transformers: Exploring the Stationarity in...	42	Emerging	558	Python
63	Geo-Joy/Deep-Learning-for-Time-Series-Forecasting This repository is designed to teach you, step-by-step, how to develop deep...	42	Emerging	144	—
64	UnifiedTSAI/Time-HD-Lib Time-HD-Lib: A Library for High-Dimensional Time Series Forecasting	42	Emerging	51	Python
65	lzz19980125/awesome-time-series-segmentation-papers This repository contains a reading list of papers on Time Series...	41	Emerging	550	MATLAB
66	WenjieDu/BrewPOTS The tutorials for PyPOTS, guide you to model partially-observed time series datasets.	41	Emerging	127	Jupyter Notebook
67	WenjieDu/SAITS The official PyTorch implementation of the paper "SAITS:...	41	Emerging	498	Python
68	AdityaLab/Samay State-of-art Foundational Time-series models	41	Emerging	33	Python
69	Aarhus-Psychiatry-Research/timeseriesflattener Converting irregularly spaced time series, such as eletronic health records,...	41	Emerging	19	Python
70	salesforce/DeepTime PyTorch code for Learning Deep Time-index Models for Time Series Forecasting...	41	Emerging	367	Python
71	fchavelli/tsseg A Python library for Time Series Segmentation	41	Emerging	5	Python
72	vkhamesi/ocpdet 📦 A Python package for online changepoint detection, implementing...	40	Emerging	33	Python
73	hendersontrent/theft R package for Tools for Handling Extraction of Features from Time series (theft)	40	Emerging	43	R
74	himura467/tsfmx Multimodal extension for time series foundation models	40	Emerging	6	Python
75	chenyangkang/stemflow A Python Package for Adaptive Spatio-Temporal Exploratory Model (AdaSTEM)	39	Emerging	26	Python
76	allen-chiang/Time-Series-Transformer A data preprocessing package for time series data. Design for machine...	39	Emerging	216	Jupyter Notebook
77	hyliush/deep-time-series Deep learning PyTorch library for time series forecasting	39	Emerging	132	Python
78	qingsongedu/awesome-AI-for-time-series-papers A professional list of Papers, Tutorials, and Surveys on AI for Time Series...	39	Emerging	1,598	—
79	TongjiFinLab/FinTSB FinTSB: A Comprehensive and Practical Benchmark for Financial Time Series...	38	Emerging	121	Python
80	getml/getml-community Fast, high-quality forecasts on relational and multivariate time-series data...	38	Emerging	234	C++
81	quantsense/TimeSeries_Notebooks_Collections Jupyter Notebooks Collection for Learning Time Series Models	38	Emerging	77	Jupyter Notebook
82	sktime/sktime-dl DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow	38	Emerging	599	Python
83	nredell/forecastML An R package with Python support for multi-step-ahead forecasting with...	38	Emerging	131	R
84	JobNmadu/Dyn4cast Dynamic Modeling and Machine Learning Environment	38	Emerging	5	R
85	thuml/OpenLTM Implementations, Pre-training Code and Datasets of Large Time-Series Models	38	Emerging	526	Jupyter Notebook
86	tinkoff-ai/etna ETNA – Time-Series Library	37	Emerging	883	Python
87	ermshaua/time-series-segmentation-benchmark This repository contains the time series segmentation benchmark (TSSB).	37	Emerging	82	Jupyter Notebook
88	equinor/TimeSeriesAnalysis Library for dynamic time-series modeling, identification and simulation....	37	Emerging	20	C#
89	songqiang321/Time-Series-Papers This is a repository for collecting papers and code in time series domain.	37	Emerging	41	—
90	NorskRegnesentral/skchange skchange provides sktime-compatible change detection and changepoint-based...	37	Emerging	41	Python
91	DAMO-DI-ML/AI-for-Time-Series-Papers-Tutorials-Surveys A professional list of Papers, Tutorials, and Surveys on AI for Time Series...	37	Emerging	166	—
92	chotanansub/autotrend Adaptive local linear trend decomposition for time series analysis.	36	Emerging	8	Python
93	jiwidi/time-series-forecasting-with-python A use-case focused tutorial for time series forecasting with python	36	Emerging	687	Jupyter Notebook
94	maxmekiska/imbrium Standard and Hybrid Deep Learning Multivariate-Multi-Step &...	36	Emerging	61	Python
95	cauchyturing/UCR_Time_Series_Classification_Deep_Learning_Baseline Fully Convlutional Neural Networks for state-of-the-art time series classification	36	Emerging	715	Python
96	titu1994/LSTM-FCN Codebase for the paper LSTM Fully Convolutional Networks for Time Series...	36	Emerging	804	Python
97	HPCForge/Bubbleformer Bubbleformer: Forecasting Boiling with Transformers	36	Emerging	5	Jupyter Notebook
98	moraieu/query-selector LONG-TERM SERIES FORECASTING WITH QUERYSELECTOR – EFFICIENT MODEL OF SPARSEATTENTION	36	Emerging	74	Python
99	skygazer42/ForeSight 一个轻量级、开箱即用的 Python 时间序列预测工具包，通过统一接口支持 250+ 种统计、机器学习与深度学习模型	36	Emerging	122	Python
100	functime-org/functime Time-series machine learning at scale. Built with Polars for embarrassingly...	36	Emerging	1,167	Python
101	itouchz/awesome-deep-time-series-representations A curated list of state-of-the-art papers on deep learning for universal...	35	Emerging	206	—
102	benman1/time-series Time-Series models for multivariate and multistep forecasting, regression,...	35	Emerging	62	Python
103	business-science/timetk Time series analysis in the `tidyverse`	35	Emerging	638	R
104	timetoai/TimeDiffusion Unified Framework for Multiple Time Series Tasks	35	Emerging	29	Python
105	LingFengGold/TimeDistill [KDD 2026] Official implementation of "TimeDistill: Efficient Long-Term Time...	35	Emerging	15	Python
106	hendersontrent/theftdlc Analyse and interpret time-series features calculated from the theft R package	35	Emerging	5	R
107	emadeldeen24/AdaTime [TKDD 2023] AdaTime: A Benchmarking Suite for Domain Adaptation on Time Series Data	35	Emerging	224	Python
108	ml-jku/mc-lstm Experiments with Mass Conserving LSTMs	34	Emerging	40	Python
109	ari-dasci/S-TSFE-DL Time Series Feature Extraction using Deep Learning	34	Emerging	63	Python
110	radrumond/timehetnet Learning complex time series forecasting models usually requires a large...	34	Emerging	44	Python
111	business-science/modeltime.h2o Forecasting with H2O AutoML. Use the H2O Automatic Machine Learning...	34	Emerging	45	R
112	puffinsoft/benchstreet The benchmark for financial time series forecasting.	34	Emerging	14	Python
113	MaxBenChrist/awesome_time_series_in_python This curated list contains python packages for time series analysis	34	Emerging	2,233	—
114	ai-fast-track/timeseries Time Series package for fastai v2	34	Emerging	96	Jupyter Notebook
115	FrancisArgnR/Time-series---deep-learning---state-of-the-art Scientific time series and deep learning state of the art	34	Emerging	282	—
116	trainindata/forecasting-with-machine-learning Code repository for the course "Forecasting with Machine Learning Models"	34	Emerging	29	Jupyter Notebook
117	kaelzhang/DA-RNN-in-Tensorflow-2-and-PyTorch A Tensorflow 2 (Keras) implementation of DA-RNN (A Dual-Stage...	33	Emerging	31	Jupyter Notebook
118	dongbeank/CATS [NeurIPS 2024] Official implementation of the paper "Are Self-Attentions...	33	Emerging	63	Python
119	bet-lab/DeepTimeSeries Deep learning library for time series forecasting based on PyTorch	33	Emerging	5	Python
120	flaviagiammarino/deep-tcn-tensorflow TensorFlow implementation of DeepTCN model for probabilistic time series...	33	Emerging	40	Python
121	Bancie/TiLearn A Python library for machine scheduling.	32	Emerging	14	Python
122	flaviagiammarino/tcan-tensorflow TensorFlow implementation of TCAN model for multivariate time series...	32	Emerging	26	Python
123	cilab-ufersa/period_cycle_prediction PERIOD CYCLE PREDICTION©: Predictive Modeling of Menstrual Cycle Length: A...	32	Emerging	22	Python
124	fchavelli/tsseg-eval A Python package to evaluate Time Series Segmentation (NeurIPS'25)	32	Emerging	5	Jupyter Notebook
125	pohl-michel/time-series-forecasting-with-UORO-RTRL-LMS-and-linear-regression Prediction of multidimensional time-series data using a recurrent neural...	31	Emerging	17	MATLAB
126	earthai-tech/k-diagram k-diagram: Rethinking Forecasting Uncertainty via Polar-based Visualization	31	Emerging	5	Python
127	lsds/Tempo Tempo is a system for declarative, efficient, end-to-end compiled dynamic...	31	Emerging	28	Python
128	flaviagiammarino/lstnet-tensorflow TensorFlow implementation of LSTNet model for multivariate time series forecasting.	31	Emerging	14	Python
129	RamiKrispin/atsaf Applied Time Series Analysis and Forecasting	31	Emerging	169	R
130	oguiza/Practical-Deep-Learning-Applied-to-Time-Series Practical Deep Learning resources for Time series analysis and forecasting	30	Emerging	84	Jupyter Notebook
131	flaviagiammarino/nbeats-tensorflow TensorFlow implementation of N-BEATS model for univariate time series forecasting.	30	Emerging	17	Python
132	zhangzw16/SageFormer Code for IoTJ 2024 paper "SageFormer: Series-Aware Framework for Long-Term...	30	Emerging	86	Python
133	mdsunivie/HARNet TensorFlow implementation of the HARNet model for realized volatility forecasting.	30	Emerging	28	Python
134	stevinc/Transformer_Timeseries Pytorch code for Google's Temporal Fusion Transformer	30	Emerging	108	Python
135	YashSharma/MultivariateTimeSeries Encoding Time Series as Images for Classification using CNNs	30	Emerging	15	Jupyter Notebook
136	mirkobunse/critdd Critical difference diagrams with Python and Tikz	30	Emerging	40	Python
137	FlorinAndrei/timeseries-forecasting-fourier-time-dummies Time series forecasting with Fourier-adjusted time dummies	29	Experimental	6	Jupyter Notebook
138	sunsided/tensorflow-lstm-sin TensorFlow 1.3 experiment with LSTM (and GRU) RNNs for sine prediction	29	Experimental	53	Python
139	ZhiningLiu1998/TimeFuse [ICML'25] Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series...	28	Experimental	25	Python
140	silaskoemen/NowcastPNN A library for epidemiological nowcasting using Probabilistic Neural Networks.	28	Experimental	3	Jupyter Notebook
141	decisionintelligence/Aurora [ICLR 2026] Aurora: Towards Universal Generative Multimodal Time Series Forecasting	28	Experimental	26	Python
142	zhangzw16/Tensor-Time-Series Papers and datasets for tensor time series.	28	Experimental	11	Python
143	VectorInstitute/forecasting-with-dl Overview of State-of-the-art Deep Learning Based Methods for Time Series Forecasting	28	Experimental	50	Jupyter Notebook
144	oscar-defelice/TimeSeries-lectures This is a series of notebooks to support lectures on Time series analysis...	28	Experimental	14	Jupyter Notebook
145	ztxtech/Time-Evidence-Fusion-Network Official implementation of "Time Evidence Fusion Network: Multi-source View...	27	Experimental	104	Python
146	grimmlab/ForeTiS Time Series Forecasting in Python	27	Experimental	15	Python
147	Thrillcrazyer/JustDense Official Repository of JustDense: Just using Dense instead of Sequence...	27	Experimental	8	Python
148	DrSasanBarak/metats MetaTS \| Time Series Forecasting using Meta Learning	27	Experimental	42	Python
149	dream-faster/fold 🪁 A fast Adaptive Machine Learning library for Time-Series, that lets you...	27	Experimental	102	Python
150	business-science/gpu_accelerated_forecasting_modeltime_gluonts GPU-Accelerated Deep Learning for Time Series using Modeltime GluonTS...	26	Experimental	25	HTML
151	intent-solutions-io/plugins-nixtla Nixtla time series forecasting plugins for Claude Code. StatsForecast,...	26	Experimental	6	Python
152	tangkai-RS/AnytimeFormer [RSE 2026] AnytimeFormer: Fusing irregular and asynchronous SAR-optical time...	26	Experimental	39	Jupyter Notebook
153	sheoyon-jhin/ANCDE Attentive Neural Controlled Differential Equations for Time-series...	26	Experimental	45	Python
154	Zero-coder/FECAM About Code release for "FECAM: Frequency Enhanced Channel Attention...	26	Experimental	154	Jupyter Notebook
155	yaelelmatad/RunTime-Public RunTime: intensity-free, TPP-aligned Transformer for probabilistic...	26	Experimental	7	Jupyter Notebook
156	AmineOuerfellii/econometron A Python package for time series forecasting and economic analysis,...	26	Experimental	4	Python
157	tylerJPike/OOS Out-Of-Sample Time Series Forecasting: OOS introduces a comprehensive...	26	Experimental	11	R
158	yfzhang114/OneNet This is an official PyTorch implementation of the NeurIPS 2023 paper...	25	Experimental	126	Python
159	flaviagiammarino/lstm-fcn-pytorch PyTorch implementation of LSTM-FCN model for univariate time series classification.	25	Experimental	28	Python
160	flaviagiammarino/brits-tensorflow TensorFlow implementation of BRITS model for multivariate time series...	25	Experimental	13	Python
161	ermshaua/window-size-selection This is the supporting website for the paper "Window Size Selection In...	25	Experimental	16	Jupyter Notebook
162	chulhongsung/time-series-forecasting Tutorial repository for time series forecasting models	25	Experimental	32	Python
163	danny-701/LSTM-Time-Series-Forecasting 📊 Forecast time-series data using LSTM models in PyTorch; generate, train,...	24	Experimental	2	Python
164	Hamid-Nasiri/VMD-MFRFNN VMD-MFRFNN	24	Experimental	58	MATLAB
165	hendersontrent/Rcatch22 R package for calculation of 22 CAnonical Time-series CHaracteristics	24	Experimental	22	C
166	rakesh-yadav/PyTorch-RNN-Tutorial PyTorch tutorial for using RNN and Encoder-Decoder RNN for time series forecasting	24	Experimental	41	Jupyter Notebook
167	Helloworld2345567/Google_TiDE_implementation An implementation of (Google）Long-term Time Series Forecasting with TiDE:...	24	Experimental	28	Jupyter Notebook
168	ML-KULeuven/PaTSEmb Transform time series to a pattern-based embedding	24	Experimental	3	Jupyter Notebook
169	davidrsch/LSTM_RE App to carry out simple experiments of the use of LSTM networks in time...	24	Experimental	1	HTML
170	ddz16/Preformer This repository contains the pytorch code for the 2023 ICASSP paper...	24	Experimental	45	Python
171	dhopp1/nowcastLSTM R wrapper for nowcast_lstm Python library. Long short-term memory neural...	23	Experimental	13	R
172	Water2sea/WITRAN Official implement for "WITRAN:Water-wave Information Transmission and...	23	Experimental	35	Python
173	liaoyuhua/pretrained-time-series-model Pretrain a time series model from scratch.	23	Experimental	6	Jupyter Notebook
174	sunbus100/FreqMoE-main The official implementation of "FreqMoE: Enhancing Time Series Forecasting...	22	Experimental	45	Python
175	khiddd/chronofeat 🕒 Create time-based features for your data with chronofeat, an R package...	22	Experimental	—	R
176	aitoralmeida/activity_segmentation Embedding-based real-time change point detection with application to...	22	Experimental	16	Python
177	Akai01/ngboostForecast Probabilistic Time Series Forecasting	22	Experimental	7	R
178	lucasrmendonca7/time-series-forecasting Time series forecasting of simulated sensor data using Exponential...	22	Experimental	—	Jupyter Notebook
179	Calvinxc1/StateSmoother PyTorch-based time-series state smoothing for tabular observations	22	Experimental	—	Jupyter Notebook
180	MukundaKatta/SignalAI Time series signal processing — smoothing, peak detection, FFT analysis,...	22	Experimental	—	Python
181	ZipengWu365/AgentForecast Multi-backend, agent-friendly forecasting for publishable charts, cards,...	22	Experimental	—	Python
182	xmootoo/sss-official A framework for variable-length time series classification (VSTC) with local...	22	Experimental	4	Python
183	zqiao11/MSFT Multi-scale Finetuning for Encoder-based Time Series Foundation Models	22	Experimental	13	Python
184	capolitsch/trendfiltering The state-of-the-art method for denoising 1D signals	22	Experimental	7	R
185	mimanchi-dongze/TimeMixer-ME TimeMixer_ME是一个基于TimeMixer创新的深度学习模型，专门用于处理复杂的时间序列任务。该模型采用多尺度记忆增强机制，能够有效处理长期依赖...	22	Experimental	—	Python
186	kadzo325/cep_ts Continuous Evolution Pool: Taming Recurring...	22	Experimental	—	Python
187	AayushSameerShah/TimeSeries-Forecasting This repository contains my notes and how-to on time series forecasting with...	21	Experimental	10	Jupyter Notebook
188	mj-xmr/tsqsim Time Series Quick Simulator - able to perform time series analysis and to...	21	Experimental	8	C++
189	taf-society/chronofeat Time-based feature engineering for forecasting in R. Formula-based...	21	Experimental	2	R
190	BTDLOZC-SJTU/TimeSeriesResearch 这个开源项目主要是对经典的时间序列预测算法论文进行复现，模型主要参考自GluonTS，框架主要参考自Informer	21	Experimental	131	Python
191	flaviagiammarino/inception-time-pytorch PyTorch implementation of InceptionTime model for multivariate time series...	20	Experimental	13	Python
192	Levi-Ackman/Leddam [ICML 2024] Official implementation of: "Revitalizing Multivariate Time...	20	Experimental	79	Python
193	barbosarafael/multiple-time-series-forecast Projeções de múltiplas séries temporais, utilizando modelagem hierarquica	20	Experimental	16	Jupyter Notebook
194	marcozanotti/tsforecasting-course Time Series Forecasting: Machine Learning and Deep Learning with R & Python	20	Experimental	5	HTML
195	Lethe4564518/TemporalFusionTransformer-model Temporal Fusion Transformer...	20	Experimental	7	Python
196	hubtru/LTBoost Boosted Hybrids of ensemble gradient algorithm for the long-term time series...	20	Experimental	17	Jupyter Notebook
197	chirindaopensource/adaptive_dataflow_system_for_financial_time_series_synthesis End-to-End Python implementation of bi-level optimization for financial...	20	Experimental	1	Jupyter Notebook
198	yyalau/iclr2025_dsof This is the official repository for the ICLR 2025 Conference Paper - Fast...	19	Experimental	15	Python
199	LeonardoBerti00/TABL-Temporal-Attention-Augmented-Bilinear-Network-for-Financial-Time-Series-Data-Analysis Pytorch implementation of TABL from Temporal Attention Augmented Bilinear...	19	Experimental	8	Jupyter Notebook
200	dhopp1/nowcast_lstm_matlab MATLAB wrapper for nowcast_lstm python package	19	Experimental	3	MATLAB
201	AmirhosseinHonardoust/LSTM-Time-Series-Forecasting A hands-on project for forecasting time-series with PyTorch LSTMs. It...	18	Experimental	27	Python
202	emptymalei/deep-learning time series forecasting with deep learning	18	Experimental	31	Python
203	00ber/multi-step-time-series-forecasting Multi-step Time Series Forecasting using LSTM	18	Experimental	6	Jupyter Notebook
204	pseudo-Skye/Time-Will-Tell A collection of tutorials covering the latest research in time series.	18	Experimental	8	HTML
205	Hamid-Nasiri/Recurrent-Fuzzy-Neural-Network MFRFNN: Multi-Functional Recurrent Fuzzy Neural Network for Chaotic Time...	18	Experimental	72	MATLAB
206	Water2sea/TPGN Official implement for "PGN: The RNN’s New Successor is Effective for...	18	Experimental	97	Python
207	marcozanotti/tsforecasting-dashboard Forecast App	18	Experimental	4	HTML
208	Ali-hey-0/forecast-Attention-Model A deep learning framework for time series forecasting using attention...	18	Experimental	3	Python
209	Devazc/FALA A project that uses ARIMA and LSTM models to predict future outcomes based...	17	Experimental	5	Jupyter Notebook
210	LLeon360/Google-Decimeter-Challenge-23 Use Transformers to predict Time-Series smartphone positioning from GNSS data.	17	Experimental	5	Jupyter Notebook
211	Vishisht16/PRESTO A novel deep transfer learning framework for forecasting NavIC satellite...	17	Experimental	2	Jupyter Notebook
212	Vineet214/TimeSeriesForecasting-LSTM Univariate Time Series Forecasting by LSTM	17	Experimental	4	Jupyter Notebook
213	martostwo/Deep_Neural_Network_TimeSeries_Forecasting A deep neural network-based model for time series prediction.	16	Experimental	3	Jupyter Notebook
214	ztxtech/cep_ts This is an official PyTorch implementation of "Continuous Evolution Pool:...	16	Experimental	11	Python
215	mlnjsh/timesage The Wise Time Series Library — Beautiful EDA, All Models, Plain-English...	15	Experimental	1	Jupyter Notebook
216	Christiansada/Time-Series-Financial-Models Build Machine Learning Models, Finance Models, Research and Manage Portfolios	15	Experimental	1	Jupyter Notebook
217	levnikmyskin/that_metric_timeline That Metric Timeline (TMT) is a Python library aimed at the machine/deep...	15	Experimental	21	Python
218	Chan-dre-yi/POWER-CAST This project is a time series forecasting model using the Temporal Fusion...	15	Experimental	8	Jupyter Notebook
219	JamBelg/Time-Series-Forecasting-with-R with Kaggle data	15	Experimental	6	R
220	Shreek195/lstm-gru-sequence-prediction A deep learning project for sequential data prediction using windowing. ...	15	Experimental	—	Jupyter Notebook
221	Scontel/time-series-forecasting-models Comparative analysis and implementation of various time series forecasting...	14	Experimental	—	Python
222	Thableaddles57/time-series-forecasting Advanced time series forecasting models (ARIMA, Prophet, LSTM) for various...	14	Experimental	—	Python
223	mzquadri/Time-Series-Streamflow-Forecasting Streamflow time series forecasting with ARIMA, XGBoost, and Prophet...	14	Experimental	—	Python
224	Bezehard/taylor_series The "taylor_series" project provides a simple implementation of Taylor...	14	Experimental	—	Jupyter Notebook
225	Witurpred64/Time-Series-Forecasting-Models Collection of models and techniques for time series analysis, forecasting,...	14	Experimental	—	Python
226	jaychampaneri14/lstm-time-series LSTM for multivariate time series prediction	14	Experimental	—	—
227	dongbeank/LGA [ICLR 2026] Official implementation of the paper "Local Geometry Attention...	14	Experimental	4	Python
228	dr-saad-la/timeseries-hub Comprehensive collection of time series forecasting models: from classical...	14	Experimental	3	Jupyter Notebook
229	jiaowoguanren0615/Time-Series-Models This is a warehouse for TimeSeries-pytorch-models, can be used to train your dataset	13	Experimental	5	Shell
230	msabr027/time_complexity The objective is to build a library to be able to estimate time complexity...	13	Experimental	6	Python
231	geniuszly/GenTimeSeriesPredictor A causal convolutional neural network (CNN) model for predicting time series	13	Experimental	6	Python
232	m6129/VKR Investigation of the capabilities of foundations models in the context of...	13	Experimental	5	Jupyter Notebook
233	ProjectTimeSeriesClassificationUniUlm/EnsembleBasedTSC Project based on the paper 'Deep Neural Network Ensembles for Time Series...	13	Experimental	5	TypeScript
234	fualsan/DeepTimeSeriesFromScratch Deep neural network models implemented from scratch in PyTorch for time...	13	Experimental	7	Jupyter Notebook
235	0-mostafa-rezaee-0/LSTM__Long-Short-Term-Memory Practical implementation of Long Short-Term Memory (LSTM) networks for time...	13	Experimental	2	Jupyter Notebook
236	ermshaua/classification-score-stream This is the supporting website for the paper "Raising the ClaSS of Streaming...	13	Experimental	8	Jupyter Notebook
237	AAnzel/Polar-Diagrams-for-Model-Comparison "Interactive Polar Diagrams for Model Comparison" by Aleksandar Anžel,...	13	Experimental	6	Jupyter Notebook
238	KarryRen/MgRL-CE A study of time series prediction based on Multi-granularity Residual...	13	Experimental	6	Python
239	SahanDisa/time-series For Time Series Analysis	12	Experimental	3	—
240	leo27heady/TempVerseFormer Implementation of the TempVerseFormer, a novel deep learning architecture...	12	Experimental	3	Python
241	phuijse/irregular_ts_transformers Transformer architectures for irregulary sampled time series classification	12	Experimental	4	Jupyter Notebook
242	pohl-michel/Time-series-prediction-with-an-RNN-trained-with-RTRL Multidimensional time-series data prediction with a recurrent neural network...	12	Experimental	4	MATLAB
243	michelelagreca/Classification-Of-Time-Series-Using-RNN Second challenge of the 'Artificial Neural Networks and Deep Learning'...	12	Experimental	3	Jupyter Notebook
244	NamanKr24/ForecastForge Hybrid framework combining ML, deep learning, and ensemble methods for...	12	Experimental	1	Jupyter Notebook
245	jose-gilberto/deeptime Set of deep learning models for supervised and semi-supervised learning...	11	Experimental	2	Python
246	BorDch/time-series-forecasting-analytics End-to-end time series analysis: classical econometrics, ML forecasting &...	11	Experimental	—	HTML
247	Flat-Earther/RNN-TimeSeries Analysis of multi-feature time series using recurrent neural networks with...	11	Experimental	—	Jupyter Notebook
248	razivzulfikar24/Egg-Price-Prediction Comparative Study of Deep Learning Time Series on Predicting Egg Price (GRU,...	11	Experimental	—	Jupyter Notebook
249	harshalsp0011/temperature-timeseries-ml Comparative time series forecasting using ARIMA and LSTM neural networks for...	11	Experimental	—	Jupyter Notebook
250	aminKMT/RNN-LastMile PyTorch LSTM notebooks for last-mile delivery ETA prediction.	11	Experimental	—	Jupyter Notebook
251	0-mostafa-rezaee-0/Time_Series_Analysis Models: AR - MA - ARMA - ARIMA - SARIMA - LSTM	10	Experimental	1	HTML
252	riadcse/Time-Series-and-Holt-Winter-Method Time Series and Holt Winter Method in Python	10	Experimental	1	Jupyter Notebook

Comparisons in this category

tslearn and Time-Series-Library (91 vs 66) sktime and skforecast (98 vs 86) tsai and pytorch-forecasting (80 vs 70) gluonts and pytorch-forecasting (74 vs 70) statsforecast and pytorch-forecasting (89 vs 70) neuralforecast and pytorch-forecasting (91 vs 70) skforecast and pytorch-forecasting (86 vs 70) statsforecast and skforecast (89 vs 86) statsforecast and mlforecast (89 vs 82) neuralforecast and skforecast (91 vs 86)

Time Series Forecasting ML Frameworks

Continuous Evolution Pool: Taming Recurring...

Comparisons in this category