Kibana Plugin to analyse your business processes.
Process Mining via a Kibana Plugin.
bpmining allows you to visualize your mined process data through multiple layers.
Download a specific release or start directly via development.
Download Kibana 8.2.1 (currently we support only this specific version).
Navigate into the unzipped Kibana directory cd kibana-8.2.1.
To install the plugin you have to execute one the following command:
$ bin/kibana-plugin install <package name or URL>You can install a plugin from a local file:
$ bin/kibana-plugin install file:///local/path/to/custom_plugin.zipor from an online source, directly from our releases:
$ bin/kibana-plugin install https://github.com/bpmining/bpmining-kibana-plugin/releases/download/v1.1.1/bpmining-8.2.1.zipFor development and testing you could use the following options to start a docker container without any security:
docker run --name es01 -p 9200:9200 -e xpack.security.enabled=false -e discovery.type=single-node -e ES_JAVA_OPTS='-Xms750m -Xmx750m' -it docker.elastic.co/elasticsearch/elasticsearch:8.2.1Start up Kibana (bin/kibana).
Add the sample data we provide via the Kibana UI:
Navigate to Add data > Upload file to upload your the sample_data/sample-data-diff-proc.json file.
You are ready to go! Create a Visualization and use it on your dashboards 📈
Before start developing you must setup your Kibana development environment.
Clone the Kibana repository and work through this getting started guide
If you can successfully run yarn kbn bootstrap then you are ready and can continue 🎉.
To develop the plugin locally you must mount it into the /plugin directory of the kibana repository. You can do so by cloning it into the directory or mounting it as subtree.
Adding the plugin as git subtrees could be done by:
# Adding the remote
git remote add bpmining [email protected]:bpmining/bpmining-kibana-plugin.git
# Adding the repo as subtree ar /plugins/bpmining
git subtree add --prefix plugins/bpmining --squash bpmining <branch>
# To push back
git subtree push --prefix plugins/bpmining bpmining <branch>You also have to start your elasticsearch instance. The easiest way is to run an elasticsearch docker container and define a data volume to have persistent data. The version of elasticsearch must match the kibana version.
To login to kibana & elasticsearch you can use one of the built-in users.
yarn kbn bootstrap- Execute this to install node_modules and setup the dependencies in your plugin and in Kibana
yarn run build- Execute this to create a distributable version of this plugin that can be installed in Kibana
yarn start- Execute this to start the application.