elastic - Elasticsearch client for Go.

•    Go

Elastic is an Elasticsearch client for the Go programming language.See the wiki for additional information about Elastic.

Flummi - Elastic Search HTTP REST Client

•    Java

Flummi is a client library for Elastic Search. It has been successfully tested with Elastic Search versions 2.3, 2.4 and 5.1. It provides a comprehensive Java query DSL API and communicates with the Elastic Search Cluster via HTTP/JSON. Flummi uses HTTP and JSON for communication with Elastic Search. Its only dependencies are Gson and AsyncHttpClient, so it is good for you if you don't want to have your application depend on the full ElasticSearch JAR.

Sharp Install

SharpInstall provides Managed interfaces to the MSI (Windows Installer) Automation model. Now MSI Installers (databases) can be created in managed code like C#, Boo etc

elastic-builder - A Node.js implementation of the elasticsearch Query DSL :construction_worker:

•    Javascript

A Node.js implementation of the Elasticsearch DSL for use with the official elasticsearch javascript client with builder syntax. Check out the API reference documentation.

Elastic APM Server - Receives data from the Elastic APM agents and stores the data into Elasticsearch

•    Go

The APM Server receives data from APM agents and transforms them into Elasticsearch documents. It does this by exposing an HTTP server endpoint to which agents stream the APM data they collect. After the APM Server has validated and processed events from the APM agents, the server transforms the data into Elasticsearch documents and stores them in corresponding Elasticsearch indices.

elasticsearch-operator - manages elasticsearch clusters

•    Go

The ElasticSearch operator is designed to manage one or more elastic search clusters. Included in the project (initially) is the ability to create the Elastic cluster, deploy the data nodes across zones in your Kubernetes cluster, and snapshot indexes to AWS S3. The operator was built and tested on a 1.7.X Kubernetes cluster and is the minimum version required due to the operators use of Custom Resource Definitions.

ElasticHD - Elasticsearch 可视化DashBoard, 支持Es监控、实时搜索，Index template快捷替换修改，索引列表信息查看， SQL converts to DSL等

•    Go

Precompiled binaries for supported operating systems are available.ElasticHD does not require any software. It works in your web browser, allowing you to manage and monitor your ElasticSearch clusters from anywhere at any time. Built on responsive CSS design, ElasticHD adjusts itself to any screen size on any device.

elastic.js - A JavaScript implementation of the elasticsearch Query DSL

•    Javascript

Javascript API for ElasticSearch DSL

laravel-scout-elastic - Elastic Driver for Laravel Scout

•    PHP

This package makes is the Elasticsearch driver for Laravel Scout. The MIT License (MIT).

cloud-on-k8s - Elastic Cloud on Kubernetes

•    Go

Elastic Cloud on Kubernetes automates the deployment, provisioning, management, and orchestration of Elasticsearch and Kibana on Kubernetes based on the operator pattern. This is an alpha version.

elasticsearch-head - A web front end for an elastic search cluster

•    Javascript

A web front end for an elastic search cluster

node-elasticsearch-client - A client written in node for elastic search

•    Javascript

A node.js client for elasticsearch (http://www.elasticsearch.com). Most of the API (http://www.elasticsearch.org/guide/reference/api/) is implemented.

elastiflow - Network flow Monitoring (Netflow, sFlow and IPFIX) with the Elastic Stack

•    Shell

ElastiFlow provides network flow data collection and visualization using the Elastic Stack (Elasticsearch, Logstash and Kibana). It supports Netflow v5/v9, sFlow and IPFIX flow types (1.x versions support only Netflow v5/v9).

Nullsoft Scriptable Install System for Windows

•    C

Nullsoft Scriptable Install System (NSIS) is a professional open source system to create Windows installers. It is designed to be as small and flexible as possible and is therefore very suitable for internet distribution. NSIS is script-based and allows you to create the logic to handle even the most complex installation tasks. Many plug-ins and scripts are already available: you can create web installers, communicate with Windows and other software components.

elephant - A persistent, full-text searchable key-value store

•    Python

Elephant is an S3-backed key-value store with querying powered by Elastic Search. Your data is persisted on S3 as simple JSON documents, but you can instantly query it over HTTP. If you need a production Elastic Search instance, checkout searchly and heroku-elasticsearch.

kibana2 - Kibana was acquired by Elastic in 2013. See elastic/kibana. More info at http://kibana.org

•    Javascript

Kibana is a browser based interface for Logstash and ElasticSearch that allows you to efficiently search, visualize, analyze and otherwise make sense of your logs. To run Kibana with JRuby, e.g. if you have to run in on a windows machine, you can create a (executable) WAR archive.

GUI4Wix

GUI4Wix enables newbies or those in a hurry to create a MSI installer for there App or anything. It currently supports very primitive kind of installers but other features will be soon available..

elasticsearch-rails - Elasticsearch integrations for ActiveModel/Record and Ruby on Rails

•    Ruby

Elasticsearch client and Ruby API is provided by the elasticsearch-ruby project.The libraries are compatible with Ruby 1.9.3 and higher.

elasticsearch-ruby - Ruby integrations for Elasticsearch

•    Ruby

For integration with Ruby models and Rails applications, see the elasticsearch-rails project.The Elasticsearch client is compatible with Ruby 1.8.7 and higher. Other libraries in this repository might require a more recent Ruby version.

Rally - Macrobenchmarking framework for Elasticsearch

•    Python

Rally is the macrobenchmarking framework for Elasticsearch. It helps to setup and teardown of an Elasticsearch cluster for benchmarking, Running benchmarks and recording results, Finding performance problems by attaching so-called telemetry devices, Management of benchmark data and specifications even across Elasticsearch versions and lot more.