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KNIME Python node archetype

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Generates KNIME workflow node skeleton repository with sample code. The node executes a Python script which is included in the skeleton. The script uses dictionary for dialog options and Pandas DataFrames as input and output.

This archetype was made because the instructions to create KNIME nodes at, requires interaction with Eclipse wizards. We wanted a way to start and perform node development from the command line and headless. KNIME nodes are Eclipse plugins. The Tycho Maven plugin is used to build and handle dependencies of Eclipse plugins, so we use Tycho for KNIME node building.

The Maven archetype will generate a multi-module project with the following structure:

  • / - parent Maven project
  • /plugin/ - code for KNIME node
  • /tests/ - tests of KNIME node
  • /feature/ - eclipse feature
  • /p2/ - eclipse update site

The KNIME node will execute a Python script called /plugin/src/<package>/<python script file name>.py.

See for more information how the Python Wrapper node works.


  • Java ==8
  • Maven >=3.0

The archetype is hosted on a BinTray repository. Maven does not resolve to this BinTray repository by default so it must be added.

The ~/.m2/settings.xml should contain the following profile:

<?xml version="1.0" encoding="UTF-8" ?>
<settings xmlns=""


The following command will generate a skeleton project

mvn archetype:generate -DarchetypeGroupId=nl.esciencecenter \
  -DarchetypeArtifactId=knime-python-node-archetype \
  -DarchetypeVersion=2.0.0 \
  -P pythonknimearchetype

The command will ask the following questions:

  1. Enter the groupId
  2. Enter the artifactId
  3. Enter the name of the package under which your code will be created
  4. Enter the version of your project, use x.y.z-SNAPSHOT format (for example 1.2.3-SNAPSHOT), where x.y.z is semantic versioning.
  5. Enter the GitHub organization name or GitHub username
  6. Enter the GitHub repository name
  7. Enter the KNIME node name
  8. Enter the Python script file name (must be given without .py extension)
  9. Enter the required Python package name (The presence of this Python package will be checked before executing the node)
  10. Confirm

The skeleton has been generated in a sub-directory named after the artifactId in the current working directory.

The following steps are needed to get a ready to use project.

  1. Change directory to generated code.

  2. Make skeleton git aware, by running git init.

  3. Fill in all placeholders ([Enter ... here.]) in

    • plugin/src/java/**/*.xml
    • feature/feature.xml
  4. Commit all changes and push to GitHub

  5. Optionally, setup Continuous Integration as described in the project file.

Further instructions about generated project can be found in it's file.

Generate from inside KNIME SDK

  1. Install Java 8

  2. Install Eclipse for RCP and RAP developers

  3. Configure Java 8 inside Eclipse Window > Preferences > Java > Installed JREs

  4. Register the archetype catalog which contains this archetype

    1. Goto Window > Preferences > Maven > Archetypes
    2. Add a remote catalog with
  5. Create a new project based on archetype

    1. Goto File > New > Project ... > Maven
    2. Select Maven Project & press Next button
    3. Use default location & press Next button
    4. Select Catalog you added in step 4.2
    5. Select the archetype with artifact id knime-python-node-archetype & press Next button
    6. Fill in the form & press Finish button

Further instructions about generated project can be found in it's file.

New release

  1. Adjust version in pom.xml
  2. Update & & archetype-catalog.xml & CITATION.cff
  3. Commit & push
  4. Test archetype by running mvn verify
  5. Create GitHub release
  6. Deploy to Bintray, see Deploy chapter below


To deploy current version to Bintray.

  1. Add bintray API key to ~/.m2/settings.xml
  1. Run mvn deploy


The was used as a starting point of this archetype.

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