207 Open source projects that are alternatives of or similar to Cloudinsight Agent

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

Lightweight, functional and correct time-series library for scala. Easy manipulation, filtering and combination of time-series data.

A Gin middleware for reporting to statsd daemon

Remote storage adapter enabling Prometheus to use PostgreSQL as a long-term store for time-series metrics.

Estimate dynamic high-order correlations in multivariate timeseries data

🐶 DataDog StatsD Client

An Open Source Distributed Time Series Database with high performance, high compression ratio and high usability.

Hastic data management server for analyzing patterns and anomalies from Grafana

A Julia package for estimating ARMA-GARCH models.

A utility for monitoring services 🔍

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

a graphite, grafana, statsd, carbon plugin for dokku

Timeseries database

Funnel metrics from multiple Heroku apps into DataDog using statsd.

Anomaly detection

Sources of the book "Displaying time series, spatial and space-time data with R" (2nd Edition)

Calculates the Hurst exponent of a time series based on Rescaled range (R/S) analysis.

Windows (.NET) library and tools for feeding data into Graphite and statsD.

Fast data store for Pandas time-series data

Tiny docker images for graphite, grafana and statsdly

Materials for my talks and articles on monitoring with focus on Python applications

Python port of R's Comprehensive Dynamic Time Warp algorithms package

Daemon for easy but powerful stats aggregation

Time Series Prediction, Stateful LSTM; 时间序列预测，洗发水销量/股票走势预测，有状态循环神经网络

If you can measure it, consider it predicted

Delay coordinates embedding and Dataset definitions

📈 Use Redis Time Series in PHP!

Implementation of Transformer model (originally from Attention is All You Need) applied to Time Series.

A repository to compare the performance between the algorithms implemented in pyts and the performance reported in the literature

telemetry aggregation and shipping, last up the ladder

📈 Minimalistic zero-dependencies statsd client for Node.js

Symfony bundle proving a statsd service and smooth integration in sf2

Export hosted sentry statsd metrics to prometheus

a PHP client for statsd

Apache IoTDB Client for Go

EMQ X Statsd

pastaʃ'ʃ = Spaghetti I/O Event Data Processing, Interpolation, Correlation and beyond 🍝

Portfolio optimization with deep learning.

Collection of several downsampling methods for time series visualisation purposes.

An asyncio-based client for sending metrics to StatsD with support of DogStatsD extension

Statsd client implemented in Rust

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

This project is deprecated in favor of https://github.com/RedisTimeSeries/grafana-redis-datasource

RedisTimeSeries python client

Monitoring agent for servers, containers, and applications 🔬

Synthetic structured data generators

API for manipulating time series on top of Apache Spark: lagged time values, rolling statistics (mean, avg, sum, count, etc), AS OF joins, downsampling, and interpolation

Java client libraries for redis-modules https://redis.io/modules, based on Redisson. https://github.com/redisson/redisson

Manipulate music data, humanize, quantize and analyze music performances with Julia

An implementation of Etsy's statsd in Go with tags support

Time Series Ensemble Forecasting

Hastic standalone

A C# client object model to help integrate with InfluxDB with CLI languages. Supports both .Net traditional and .Net Core.

Tools for time series analysis and forecasting

Fast specialized time-series database for IoT, real-time internet connected devices and AI analytics.

ARIMA, SARIMA, SARIMAX and AutoARIMA models for time series analysis and forecasting in the browser and Node.js

Docker Image with Telegraf (StatsD), InfluxDB and Grafana

Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".

Multivariate LSTM Fully Convolutional Networks for Time Series Classification

Interactive visualizations of time series using JavaScript and the HTML canvas tag