A unified SQL query interface and portable runtime to locally materialize, accelerate, and query datasets from any database, data warehouse, or data lake.

Generative modeling of synthetic time series data and time series augmentations

An open-source, cloud-native, distributed time-series database with PromQL/SQL/Python supported. Available on GreptimeCloud.

Probabilistic time series modeling in Python

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

This project aims to develop a model using ARIMA & Seasonal ARIMA to forecast future sales

Portfolio optimization and back-testing.

数据链路为蓝鲸监控平台提供通用统一的数据采集、转换和存查能力。

Used normal neural networks and convolutional neural networks in many many data like animals, fashion, flowers classification, and also temperature predictions and time-series. Have fun. BTW used tensorflow for the works.

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.

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.

A unified framework for machine learning with time series

The Prometheus monitoring system and time series database.

An all-in-one observability solution which aims to combine the advantages of Prometheus and Grafana. It manages alert rules and visualizes metrics, logs, traces in a beautiful web UI.

Official mirror of the actively maintained repo on sourceforge

A HDF5 Wrapper for Time Series

RFE BSU organization of data processing labs

TDengine is an open source, high-performance, cloud native time-series database optimized for Internet of Things (IoT), Connected Cars, Industrial IoT and DevOps.

FAST Change Point Detection in R

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