Concept: Plugins in Dataiku

Dataiku contains native visual components that allow you to connect to data, process data, train models, and so on. At the same time, Dataiku allows you the flexibility of implementing custom components and sharing them with others. These custom components are packaged as plugins.

There are four ways to access plugins in Dataiku:

  • by installing them from the Dataiku plugin store;

  • by developing them within Dataiku;

  • by uploading .zip files that package plugins, and

  • by fetching them from a git repository.

To develop a plugin, you program the backend using a language like Python or R. Then, you create the user interface by configuring parameters in .json files. For this lesson, we’ll focus on plugins that are already available in the Plugin Store.


If you’re interested in actual plugin development, see the Plugin Development course in the Developer learning path.


This content is also included in a free Dataiku Academy course on the Plugin Store, which is part of the Advanced Designer learning path. Register for the course there if you’d like to track and validate your progress alongside concept videos, summaries, hands-on tutorials, and quizzes.

Plugin Components

A plugin in Dataiku can contain one or more related components. Each plugin component consists of a graphical user interface (GUI) wrapper around code, and it exposes a single type of Dataiku element, such as a dataset, recipe, webapp, processor, and more.

A slide with Dataiku screenshots showing different plugin components such as a dataset, recipe, webapp, and Java preparation processor.

As an example, let’s take a look at the US Census plugin, which consists of six components — three visual recipes and three dataset connectors.

A Dataiku screenshot of the plugin store page for the Census USA plugin, highlighting its six components.

We can use the visual recipes from this plugin to enrich a dataset with one of the hundreds of socio-demographic variables from the US Census Bureau. We can also use the dataset connectors to build and use the US Census data directly within Dataiku.

A plugin’s documentation is available on the Plugins page of the Dataiku website. The plugin’s page also includes a link to its source code on GitHub. Note that many plugins from the Dataiku Plugin store are open source.

A screenshot of a typical plugin home page highlighting how its source code is available on GitHub.

Plugin Usage

Once installed, the plugin is now available to the Dataiku instance where you installed it. It is available to all users of the instance. For example, the installed US Census plugin can be used directly and visually from the Flow to enrich some input data or connect to US census data. Let’s now explore how to use some plugin components.

Using a Visual Recipe Component

The plugin’s visual recipe components can be accessed by clicking the +Recipe button in the Flow, or by accessing them in the right panel.

A Dataiku Flow highlighting how plugin recipes can be found either in the right panel or from the + Recipe dropdown.

The plugin’s visual recipe works like any other visual recipe. That is, we can select input parameters in the recipe settings and then run the recipe.

The settings page from the "Get US census block group from lat lon" recipe of the Dataiku plugin.

Using a Dataset Connector Component

To use one of the dataset connector components, Census USA, we can use the + Dataset button to access new dataset connectors for connecting to US census data.

A Dataiku screenshot of creating a new dataset through a plugin connector by clicking the + New Dataset button from the Flow.

Then we will input values for parameters, such as the states for which we want to get data, the geography granularity, and the fields we want to extract. At the backend, Dataiku fetches the data from the US Census website.

A Dataiku screenshot of creating a new dataset from a plugin connector, in this case, a new dataset from the US Census bureau.

Using a Processor Component

The Zipcode geocoding plugin includes a processor component called zipcode geocoding that is accessible from the Prepare recipe.

A Dataiku screenshot of a Prepare recipe with the processors library open showing the Zipcode geocoding step.

Using this processor, we can extract geographic coordinates from location data such as country and zip code. This processor step works just like any other in the Prepare recipe!

Authorization for Plugin Installation

A Dataiku admin or other user with the appropriate rights must install a plugin on the Dataiku instance before anyone can use the plugin.

  • As an administrator on a shared instance (such as one used in a customer setting), you have the permissions to install and develop plugins.

  • As a user working on your local instance of Dataiku (such as the Free Edition), you have the permissions to install and develop plugins (since you are the admin of that instance).

  • As a user on a shared instance, your rights to install and develop plugins will depend on the rights that an admin assigns to you.

From the Administration section, under the Security tab, we can see how permissions are distributed among users and groups. For example, we can see that the administrators have all rights, while groups like “data_team” and “readers” have limited rights that prevent them from developing or installing plugins.

The Dataiku group-wise authorization matrix showing the permissions of every group on the instance, including plugin development

Learn More

To learn more about the plugin store, including through hands-on exercises, please register for the free Academy course on this subject found in the Advanced Designer learning path.

You can also find out more in this article on Plugin Store Usage