pathwaycom / pathway
Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
pathwaycom / pathway
TSCenter / awesome-time-series-papers
An Awesome List of the latest time series papers and code from top AI venues.
statsmodels / statsmodels
Statsmodels: statistical modeling and econometrics in Python
sktime / sktime
A unified framework for machine learning with time series
AIStream-Peelout / flow-forecast
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
TA-Lib / ta-lib
Technical analysis library: indicators and candlestick patterns, batch and streaming, native in C, Rust, Java, C#... and more
aeon-toolkit / aeon
A toolkit for time series machine learning and deep learning
petrobras / 3W
Timely detections for more proactive and effective actions in offshore oil wells!
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
johannfaouzi / pyts
A Python package for time series classification
ScottfreeLLC / AlphaPy
Python AutoML for Trading Systems and Sports Betting
OSGeo / grass
GRASS - free and open-source geospatial processing engine
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
microsoft / TimeCraft
Official code for TimeCraft: A Time Series Generation Framework for Real-World Applications
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
benfulcher / hctsa
Highly comparative time-series analysis
reservoirpy / reservoirpy
A simple and flexible code for Reservoir Computing architectures like Echo State Networks
earthgecko / skyline
Real-time anomaly detection for time series metrics. 11 years of production anomaly detection evolution. Multi-algorithm ensembles. Pattern recognition using semi-supervised and unsupervised learning. Correlation analysis. Learns and gets better over time. No GPU required, can run on a VPS.
grafana / augurs
Time series analysis for Rust, with bindings to Python and Javascript
lzz19980125 / awesome-time-series-segmentation-papers
This repository contains a reading list of papers on Time Series Segmentation. This repository is still being continuously improved.
DynamicsAndNeuralSystems / catch22
catch22: CAnonical Time-series CHaracteristics
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