---
url: /elements-list-palette-left.md
---
# Palette

On the left side of the *Designer* is the palette. It contains the elements that can be dragged onto the canvas to assemble a *Workflow*.

The elements are grouped into three tabs:

![palette-tabs-closeup](/images/palette-tabs-highlighted.png)
*Palette elements grouped in tabs*

* **Services**: a list of micro-application services available to build the *Workflow*.
* **Datasets**: the datasets registered on ALIDA.
* **Models**: the available Machine Learning models.

All three sections of the palette have:

* A **search bar** to quickly find the desired element.
* **pagination** system.

Let's now take a closer look at the individual sections.

## Services

Here is the list of available ***Services***, identified by:

* **Name** (e.g.: `KMEANS`, `LINGOJAM-TRANSLATOR`, `TF-REGRESSOR-MLFLOW`)
* **Version** (e.g.: `1.0.1`, `1.0.2`)
* Orange block

![../images/image%2023.png](/images/image%2023.png)
*Example of Service in list*

The **Services** section of the Palette, offers the additional possibility of **filtering the *Services*** in the list by:

* **Categories:** labels related to the type of function implemented by the *Service* (e.g. Analysis, Processing, Reporting, ...)
* **Frameworks:** labels related to the technologies used to implement the *Service*
* **Tags:** generic purpose labels

::: info Note
Labels can be created by the administrator through the *Control Panel*.
:::

To access the filtering panel, follow the steps illustrated in the following images:

![palette-services-area-filter-highlighted](/images/palette-services-area-filter-highlighted.png)
*Button to access filters for Services*

![services-filter-popup](/images/services-filter-popup.png)
*Pop-up for filtering Services*

This filter allows you to **navigate more easily** the list of services and **quickly select** only those relevant to the area of interest of the *Workflow* you are building.

## Datasets

Within the **Datasets** section we find the list of **available datasets**, identified by:

* **Name** (e.g. `IRIS`, `TESTER`, `SCIKIT-LEARN/AUTO-MPG`)
* **Type** (e.g. `TABLE` - tabular structured dataset)
* Green block

![../images/image.png](/images/image%2024.png)
*Example of dataset in list*

## Models

Within the **Models** section, we instead find the list of **available models**, identified by:

* **Name** (e.g. `MODEL CREATED BY TEST MLFLOW`, `MODEL CREATED BY KNN ON NOCC`).
* **Creation date and time**
* Blue block

![../images/image.png](/images/image%2025.png)
*Example of model in list*