extract whitebox monitoring data from application logs for collection in a timeseries database

1st place solution

A machine learning toolkit dedicated to time-series data

An open-source framework for real-time anomaly detection using Python, ElasticSearch and Kibana

A Time Series Library for Apache Spark

📈 The InfluxDB Client for Node.js and Browsers

Golang implementation of Graphite/Carbon server with classic architecture: Agent -> Cache -> Persister

Declarative and modular timeseries charting components for React

A Python package for time series classification

Python implementation of KNN and DTW classification algorithm

Bringing financial analysis to the tidyverse

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

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.

Cloudinsight Agent is a system tool that monitors system processes and services, and sends information back to your Cloudinsight account.

Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification

Time series distances: Dynamic Time Warping (DTW)

A python library for Bayesian time series modeling

Chart.js module for charting financial securities

A high performance data logging and graphing system for time series data.

Future development of redis-timeseries is at github.com/RedisLabsModules/redis-timeseries.

golang reimplementation of API for graphite

Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.