Marija 
Marija is a data exploration and visualisation tool for (un)structured Elasticsearch data. Using Marija you'll be able to see relations between data of different datasources without any modifications to your data or index.
Screenshot
Features
- work on multiple servers and indexes at the same time
- different fields can be used as node identifier
- identifiers can be normalized through normalization regular expressions
- each field will have its own icon
- query indexes natively to the datasource
- histogram view to identify nodes in time
- select and delete nodes
- select related nodes, deselect all but selected nodes
- zoom and move nodes
- navigate through selected data using the tableview
- multiple datasources supported like Elasticsearch, Splunk, Blockchain.info, Twitter
- submit nodes in realtime
Install
Using Docker
$ docker pull marija/marija
$ vim config-docker.toml # update elasticsearch configuration
$ docker run -d -p 8080:8080 -v $(pwd)/config-docker.toml:/config/config.toml --name marija marija/marija
Installation from source
Install Golang
If you do not have a working Golang environment setup please follow Golang Installation Guide.
Install Marija
Installation of Marija is easy.
$ go get github.com/dutchcoders/marija
$ marija
Installation using Homebrew (macOS)
$ brew tap dutchcoders/homebrew-marija
$ brew install marija
Configuration
Elasticsearch
[datasource]
[datasource.elasticsearch]
type="elasticsearch"
url="http://127.0.0.1:9200/demo_index"
#username=
#password=
[[logging]]
output = "stdout"
level = "debug"
Splunk
[datasource]
[datasource.splunk]
type="splunk"
url="https://localhost:8089"
username="admin"
password="admin"
Contribute to Marija
Please follow Marija Contributor's Guide
Community
Join the marija-users mailing list to discuss all things Marija.
Copyright and license
Code and documentation copyright 2016-2018 Remco Verhoef twitter.
Code released under AGPL-3.0.