358 Open source projects that are alternatives of or similar to Timeseriesadmin

Open Source HTTP Reverse Proxy Cache and Time Series Dashboard Accelerator

VMware vSphere Performance Metrics Integration with Graphite & InfluxDB

QoS Measurement & Dependency Graph Platform

A script to take Nest thermostat data and put it into InfluxDB

Plot in the terminal using braille dots.

Timeseries database

Time series based anomaly detector

Scala toolchain for InfluxDB

Internet testing running on Docker Compose.

Healthbot configuration examples. Scripts to manage Healthbot. Closed loop automation. Healthbot building blocks description and troubleshooting guide

NeuralProphet - A simple forecasting model based on Neural Networks in PyTorch

Ruby client for InfluxDB

Pinba2: new implementation of https://github.com/tony2001/pinba_engine

Streaming reference architecture for ETL with Kafka and Kafka-Connect. You can find more on http://lenses.io on how we provide a unified solution to manage your connectors, most advanced SQL engine for Kafka and Kafka Streams, cluster monitoring and alerting, and more.

Chronograf Dashboards for use with data produced by Telegraf input plugins.

Go Examples: From basics to distributed systems

Performance Co-Pilot

SAX-VSM public release, visit our website for detail

Declarative and modular timeseries charting components for React

A tool for generating random, yet realistic, time series values

[IMC 2020 (Best Paper Finalist)] Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions

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.

A connector which copies performancedata from Nagios / Icinga(2) / Naemon to InfluxDB

Python implementation of KNN and DTW classification algorithm

Durable time-series database that's API-compatible with Prometheus.

Time Series data structure for Redis

Application: Collect ALL UniFi Controller, Site, Device & Client Data - Export to InfluxDB or Prometheus

Monitor ESXi, Synology, Docker, PiHole and Raspberry Pi and Windows using Grafana, InfluxDB and Telegraf

R, Python and Mathematica Codes in Machine Learning, Deep Learning, Artificial Intelligence, NLP and Geolocation

Chart.js module for charting financial securities

Import data from various APIs into InfluxDB

InfluxDB Chinese Document

Python driver for MarketStore

Docker-Monitoring based on Cadvisor, InfluxDB, and Grafana

This is a times series anomaly detection algorithm, implemented in Python, for catching multiple anomalies. It uses a moving average with an extreme student deviate (ESD) test to detect anomalous points.

VictoriaMetrics: fast, cost-effective monitoring solution and time series database

Anything can happen in the next half hour (including spectral timing made easy)!

Flask based api / dashboard for viewing a ceph clusters overall health status

Node js trading bot, let you create trading strategy and run it (backtest/simulation/live)

Web tool for Kafka Connect |

Kibana Alert & Report App for Elasticsearch

A toolkit for working with time series in R

Uses docker compose with a python flask microservice and MongoDB instance to make a sample application

INFRASTRUCTURE、OPERATION SYSTEM and APPLICATION monitoring tools for Operations.

💜 C++ client for InfluxDB.

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

Plotting and logging of real-time data for desktop.

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

Leverage your IoT enabled Solar PV Inverter to stream your solar energy usage data to a real time dashboard.

Interpolation-Prediction Networks for Irregularly Sampled Time Series

Fast data store for Pandas time-series data

Multivariate LSTM Fully Convolutional Networks for Time Series Classification

telemetry aggregation and shipping, last up the ladder

Library which contains several time-dependent data and index structures (e.g., IntervalTree, BucketTimeSeries), as well as algorithms.

Java implementation of SAX, HOT-SAX, and EMMA

An interactive command-line InfluxDB cli with auto completion.

Anomaly detection

Portfolio optimization with deep learning.

Java implementation of Seasonal-Trend-Loess time-series decomposition algorithm.

Network monitoring system written in Python and Django, designed to be extensible, programmable, scalable and easy to use by end users: once the system is configured, monitoring checks, alerts and metric collection happens automatically.