mistralai / timestral

Repository for Timestral, the time-series foundation model by Mistral AI

google-research / timesfm

TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.

amazon-science / chronos-forecasting

Chronos: Pretrained Models for Time Series Forecasting

polakowo / vectorbt

The research engine that gives you an unfair advantage. Run thousands of trading ideas before others finish one.

IBM / AssetOpsBench

AssetOpsBench - Industry 4.0: A unified benchmark and framework for building, orchestrating, and evaluating domain-specific AI agents for Industry 4.0 asset operations and maintenance, with 460+ scenarios, 5 specialist agents (IoT, FMSR, TSFM, Work Order,...), and multi-agent orchestration blueprints (MetaAgent, AgentHive) over MCP.

pathwaycom / pathway

Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.

autogluon / autogluon

Fast and Accurate ML in 3 Lines of Code

Nixtla / neuralforecast

Scalable and user friendly neural :brain: forecasting algorithms.

jonathanwvd / awesome-industrial-datasets

A curated collection of public industrial datasets.

ceyyy427 / finathink

Finathink — Financial Research Optimizer for auditable, point-in-time research, mathematical learning, and constrained portfolio analysis.

Luciferbobo / KiT

KiT: A Foundation Model for Financial Time-Series Forecasting using Diffusion Transformers

sktime / sktime

A unified framework for machine learning with time series

unit8co / darts

A python library for user-friendly forecasting and anomaly detection on time series.

PaddlePaddle / PaddleX

All-in-One Development Tool based on PaddlePaddle

awslabs / gluonts

Probabilistic time series modeling in Python

Nixtla / statsforecast

Lightning ⚡️ fast forecasting with statistical and econometric models.

ourownstory / neural_prophet

NeuralProphet: A simple forecasting package

sdv-dev / SDV

Synthetic data generation for tabular data

AIStream-Peelout / flow-forecast

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

WenjieDu / PyPOTS

A Python toolkit/library for reality-centric machine/deep learning & data mining on partially-observed time series, with 50+ SOTA neural network models for scientific analysis tasks (imputation, classification, clustering, forecasting, anomaly detection, cleaning) on incomplete industrial irregularly-sampled multivariate TS with NaN missing values

alkaline-ml / 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.

bashtage / arch

ARCH models in Python

skforecast / skforecast

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

aeon-toolkit / aeon

A toolkit for time series machine learning and deep learning

winedarksea / AutoTS

Automated Time Series Forecasting

Nixtla / mlforecast

Scalable machine 🤖 learning for time series forecasting.

DaoSword / Time-Series-Forecasting-and-Deep-Learning

Resources about time series forecasting and deep learning.

Nixtla / hierarchicalforecast

Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.

RamezIssac / django-slick-reporting

The Reporting Engine for Django. Create dashboards and standalone Reports and Charts.

birla-ai-labs / yug

Yug: a foundation model for zero-shot probabilistic time-series forecasting

yzhao062 / pyod

A Python library for anomaly detection across tabular, time series, graph, text, image, and audio data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic workflow for AI agents.

stumpy-dev / stumpy

STUMPY is a powerful and scalable Python library for modern time series analysis

tslearn-team / tslearn

The machine learning toolkit for time series analysis in Python

ContextLab / hypertools

A Python toolbox for gaining geometric insights into high-dimensional data

johannfaouzi / pyts

A Python package for time series classification

ScottfreeLLC / AlphaPy

Python AutoML for Trading Systems and Sports Betting

quixio / quix-streams

Python Streaming DataFrames for Kafka

graphite-project / carbon

Carbon is one of the components of Graphite, and is responsible for receiving metrics over the network and writing them down to disk using a storage backend.

sintel-dev / Orion

Unsupervised time series anomaly detection library

predict-idlab / plotly-resampler

Visualize large time series data with plotly.py

fraunhoferportugal / tsfel

Time Series Feature Extraction Library (TSFEL): 60+ statistical, temporal, spectral and fractal features for time series classification, regression and signal processing in Python

business-science / pytimetk

Time series easier, faster, more fun. Pytimetk.

deeptime-ml / deeptime

Python library for analysis of time series data including dimensionality reduction, clustering, and Markov model estimation

insarlab / MintPy

Miami InSAR time-series software in Python

pyRiemann / pyRiemann

Machine learning for multivariate data through the Riemannian geometry of positive definite matrices in Python

JordiCorbilla / stock-prediction-deep-neural-learning

Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting

TimeCopilot / timecopilot

TimeCopilot: the GenAI Forecasting Agent. Built on LLMs and Time Series Foundation Models, it lets you forecast, cross-validate, and detect anomalies using multiple foundation models through a single API. From finance and energy to web analytics, TimeCopilot turns natural-language queries into production-ready forecasts.

lightkurve / lightkurve

A friendly package for Kepler & TESS time series analysis in Python.

dreamers-laboratory / timeseries-atlas

A map of modern time-series forecasting architectures, each with a short README and runnable code.

SII-fkchen / SOTER

Repo of SOTER: A Generative Time-Series Foundation Model for Wearable Human Physiological Signals

mrcanlaco / PeakPulse-AI

PeakPulse AI — Real-Time Financial Market Anomaly Detection & Time-Series Machine Learning Engine

yang-ai-lab / OpenSLA

Open Sensor-Language-Action (SLA) Models

47thtechcorner / RayCodes_Kronos

Kronos AI: Tiny Model That Beats Expensive Trading Bots - Open-source foundation model for financial candlesticks with Ollama Llama 3.2 Indian market analysis.

PkLavc / Autotrader

Autonomous AI trading system powered by Kronos. Forecasts markets, builds portfolios and paper-trades automatically with GitHub Actions.