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Publish a Dataset (CLI)

Time required: 5 minutes


You must have already:

  • Signed up for a Matatika account
  • Created a workspace through the Matatika app or API


Matatika provides an easy-to-use client library for interfacing with the API via a Python script, Jupyter Notebook, or the command line. This example will cover the use of the client library as a command line utility.

To install from PyPi, simply run:

pip install matatika

Dataset File Preparation

As a command line utility, the client library can publish datasets from a YAML file. This YAML file could be managed in a source control repository, such as GIT, and automated in a DevOps or DataOps pipeline. To keep things simple, we will be publishing from the command line with the same dataset as in Publishing Your First Dataset Using the Matatika API.

The dataset file needs to adhere to the following YAML format:

version: datasets/v0.2
title: Planet Orbits in Our Solar System
questions: How many Earth-years does it take for Jupiter to orbit the sun?
description: |-
  #Planet Orbits
  Sun orbit data for all planets within our solar system.
  *Yes, Pluto is included!*
metadata: |-
    "name": "planet",
    "label": "Bar chart global link to dataset", 
    "related_table": {
      "columns": [
        {"name": "name", "label": "Planet Name", "description": "Planet Name"}
      "aggregates": [
        {"name": "orbitduration", "label": "Orbit Duration (Earth Years)", "description": "Orbit Duration (Earth Years)"}
rawData: |-
    {"": "Mercury", "planet.orbitdistance": 0.3336, "planet.orbitduration": 0.25},
    {"": "Venus", "planet.orbitdistance": 0.63, "planet.orbitduration": 0.5833},
    {"": "Earth", "planet.orbitdistance": 0.8708, "planet.orbitduration": 1},
    {"": "Mars", "planet.orbitdistance": 1.3242, "planet.orbitduration": 1.9167},
    {"": "Jupiter", "planet.orbitdistance": 4.5287, "planet.orbitduration": 11.8333},
    {"": "Saturn", "planet.orbitdistance": 8.2997, "planet.orbitduration": 29.5},
    {"": "Uranus", "planet.orbitdistance": 16.703, "planet.orbitduration": 84.0833},
    {"": "Neptune", "planet.orbitdistance": 26.1883, "planet.orbitduration": 164.9167},
    {"": "Pluto", "planet.orbitdistance": 33.8475, "planet.orbitduration": 248.0833}
visualisation: '{"chartjs-chart": {"chartType": "bar"}}'

Here, the datasets key can assume a value of multiple datasets. In this example, the planet-orbits entry forms a partial Dataset schema, with the key used as the alias and the value containing other relevant schema entries.

You can read more about the YAML format and its syntax here.


Once installed, the first thing we need to do is create a new context. Grab an API token from the Matatika app and run:

matatika context create $CONTEXT_NAME -a $AUTH_TOKEN
matatika context use $CONTEXT_NAME
matatika context default
CONTEXT NAME    example-context-1                                               
ENDPOINT URL                                

This will create the context $CONTEXT_NAME with an AUTH TOKEN value of $AUTH_TOKEN, set it as the default context, and then print out the default context as a formatted table. You will notice that the ENDPOINT URL is populated with the production Matatika API URL by default. If required, this can be changed using the -e option when either creating a new context or updating the default context.

Once a default context has been set, verify everything is working by running the profile command. If successfully, this will state the profile ID and name of the authenticated user:

matatika profile
ID      auth0|a1b2c3d4e5f6g7h8i9j10k11
NAME    [email protected]

Next, we need to select a workspace which we will publish our dataset into. Invoke the list command with the workspaces sub-command to print out a list of workspaces the authenticated user is a member of:

matatika list workspaces
WORKSPACE ID                            NAME
ce21a13b-6d6b-42a6-bab7-4df1ae2b0fca    Example Workspace 1
84e8f833-4b7a-48dd-a85e-733e702ea4eb    Example Workspace 2
24ec305c-af62-44e3-9312-e97da942fc1c    Example Workspace 3

Total workspaces: 3

From here, copy the corresponding ID of the workspace you wish to publish your dataset into. Update the default context with the -w option to set a WORKSPACE ID value:

# use Example Workspace 1
matatika context update -w ce21a13b-6d6b-42a6-bab7-4df1ae2b0fca
matatika context default
CONTEXT NAME    example-context-1                                               
ENDPOINT URL                                
WORKSPACE ID    ce21a13b-6d6b-42a6-bab7-4df1ae2b0fca

Publishing a Dataset

All that’s left to do now is actually publish the dataset file we assembled before. With the publish command, specify the path to the file as an argument:

matatika publish dataset.yaml

All done! If everything was set up correctly, the utility should response with a success message and a list of the published datasets:

Successfully published 1 dataset(s)

DATASET ID                              ALIAS            TITLE                                STATUS
de5b4645-bf63-4090-a43d-e872fd0a010e    planet-orbits    Planet Orbits in Our Solar System    NEW