There are 190 repositories under time-series topic.
The Prometheus monitoring system and time series database.
Scalable datastore for metrics, events, and real-time analytics
TDengine is an open source, high-performance, cloud native time-series database optimized for Internet of Things (IoT), Connected Cars, Industrial IoT and DevOps.
An open-source time-series SQL database optimized for fast ingest and complex queries. Packaged as a PostgreSQL extension.
Agent for collecting, processing, aggregating, and writing metrics, logs, and other arbitrary data.
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.
Automatic extraction of relevant features from time series:
An open-source and enterprise-level monitoring system.
A highly scalable real-time graphing system
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
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
Low-code development tool based on PaddlePaddle(飞桨低代码开发工具)
The Time Series Visualization Tool that you deserve.
An Open-Source, Cloud-Native, Unified Time Series Database for Metrics, Logs and Events with SQL/PromQL supported. Available on GreptimeCloud.
Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.
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.
Collection of useful data science topics along with articles, videos, and code
Lightning ⚡️ fast forecasting with statistical and econometric models.
NeuralProphet: A simple forecasting package
Merlion: A Machine Learning Framework for Time Series Intelligence
List of tools & datasets for anomaly detection on time-series data.
The machine learning toolkit for time series analysis in Python
Scalable and user friendly neural :brain: forecasting algorithms.
High-performance time-series aggregation for PostgreSQL
List of papers, code and experiments using deep learning for time series forecasting
Deep Learning API and Server in C++14 support for Caffe, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE
GridDB is a next-generation open source database that makes time series IoT and big data fast,and easy.