Multivariate dynamic linear models using Bayesian methods in Stan

Computation-Efficient Era: A Comprehensive Survey of State Space Models in Medical Image Analysis

Time series machine model to predict crop growth as part of an AgAID internship

Scalable datastore for metrics, events, and real-time analytics

The Prometheus monitoring system and time series database.

Centreon is a network, system and application monitoring tool. Centreon is the only AIOps Platform Providing Holistic Visibility to Complex IT Workflows from Cloud to Edge.

Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.

Lightning ⚡️ fast forecasting with statistical and econometric models.

An open-source time-series SQL database optimized for fast ingest and complex queries. Packaged as a PostgreSQL extension.

R Time series packages not included in CRAN Task View: Time Series Analysis

Agent for collecting, processing, aggregating, and writing metrics, logs, and other arbitrary data.

A tool for performing cross-validation with panel data

The machine learning toolkit for time series analysis in Python

Collection of operational time series ML models and tools

A toolkit for machine learning from time series

Open source framework for processing, monitoring, and alerting on time series data

CrateDB is a distributed and scalable SQL database for storing and analyzing massive amounts of data in near real-time, even with complex queries. It is PostgreSQL-compatible, and based on Lucene.

Release Docker builds of TimescaleDB

This is a package to access the ClimateSERV API

Stock Trend Prediction with LSTM is a powerful tool designed to empower users with insights into the dynamic world of stock market trends. Leveraging cutting-edge technologies such as Long Short-Term Memory (LSTM) networks and real-time data from Yahoo Finance, this project enables users to forecast future price movements of stocks with precision.