DashBuilder is a full-featured web application that allows non-technical users and programmers to create business dashboards.
Dashboard data can be extracted from heterogeneous sources of information such as Prometheus, JDBC databases, or regular text files.
The resulting dashboard can be deployed in a cloud environment using DashBuilder Runtime.
To know more, you can head over to Getting Started with DashBuilder(guide).
You can connect your own datasets to DashBuilder and create intuitive dashboards based on your own data. This is how the Datasets page looks like.
Here are some important links to get started with adding datasets from several sources to DashBuilder
KIE Execution server
SQL
Prometheus
JSON
CSV
Kafka
You can import your dashboards from DashBuilder in the form of a ZIP file using the "Data Transfer" option from the menu on the top left. Once you've imported the dashboards, you can deploy them in a cloud environment as mentioned earlier. To know more about DashBuilder Runtime, refer to the Introduction to DashBuilder Runtime and refer to some of it's demos and features.
Clone the KIE Tools repository. Go to packages/dashbuilder
and run mvn clean install -Dfull
Go to dashbuilder-authoring
folder inside dashbuilder
and run mvn clean install -Dfull
To run Dashbuilder Authoring, run the dashbuilder-authoring-bootable JAR
created inside dashbuilder-authoring/target
using the command java -jar dashbuilder-authoring-bootable.jar
To run DashBuilder Runtime where you can import and display dashboards, run the dashbuilder-runtime-app-runner.jar
created inside dashbuilder-runtime-parent/dashbuilder-runtime-app/target
using the same command.
Github popular repositories directly from github API
Serverless Workflow report for data generated with Data Index
Weather in Brazil using selected locations
Generate forms to send data to applications
World Temperature change chart consuming data from a public JSON service (may take a while to load)
Main cryptoscurrencies current values
Dashboard for Podman REST API
Map sample using open API with Nobel laureates
A very simple time series chart with enabled zoom.