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Chronos: Pretrained Models for Time Series Forecasting

Probabilistic time series modeling in Python

Time series forecasting with PyTorch

The machine learning toolkit for time series analysis in Python

High performance datastore for time series and tick data

GridDB is a next-generation open source database that makes time series IoT and big data fast,and easy.

Fast scalable time series database

Synthetic data generators for tabular and time-series data

Portfolio optimization with deep learning.

Performance Co-Pilot

Bringing financial analysis to the tidyverse

A python library for time-series smoothing and outlier detection in a vectorized way.

Time series analysis in the `tidyverse`

SiriDB is a highly-scalable, robust and super fast time series database. Build from the ground up SiriDB uses a unique mechanism to operate without a global index and allows server resources to be added on the fly. SiriDB's unique query language includes dynamic grouping of time series for easy analysis over large amounts of time series.

Accumulo backed time series database

High-performance, time-indexed object storage for robotics and industrial IoT

Financial market technical analysis & indicators in Julia

Time-aware tibbles

Detect trend in time series, drawdown, drawdown within a constant look-back window , maximum drawdown, time underwater.

Climate science package for Julia

NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for providing continuous calculation.

Time series implementation for the Julia language focused on efficiency and flexibility

Yet Another Time Series Model

Ruby Agent for Instrumental Application Monitoring

Time series library for Julia

NetCDF-CF Geometry and Timeseries Tools for R: https://code.usgs.gov/water/ncdfgeom

A Julia library that defines TimeFrame (essentially for resampling TimeSeries)