Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
- batch-processing
- kafka
- pathway
- python
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Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
A Library for Advanced Deep Time Series Models for General Time Series Analysis.
Statsmodels: statistical modeling and econometrics in Python
A unified framework for machine learning with time series
Anomaly detection related books, papers, videos, and toolboxes. Last update late 2025 for LLM and VLM works!
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
STUMPY is a powerful and scalable Python library for modern time series analysis
This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the type of model.
The machine learning toolkit for time series analysis in Python
A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.
List of papers, code and experiments using deep learning for time series forecasting
[ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"
GRASS - free and open-source geospatial processing engine
Esper Complex Event Processing, Streaming SQL and Event Series Analysis
Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.