Learn how to setup CI pipelines so publishing your data science work becomes automatic!!


  • Have a Kyso account - either on or on your company's private Kyso installation.

  • Create a Kyso access token - follow these instructions. Save this for later!

  • Ensure your directory (or folders) contains a valid kyso.yaml file. Check the following instructions for more info.

How to publish to Kyso with Bitbucket CI Pipelines

About the kyso-push step variables:

  • Theusernameand token fields take their value from secret variables, to make the system work the user has to create the kyso auth token and define the KYSO_USERNAME and KYSO_TOKEN as explained on the github documentation.

  • Theurl has to point to your Kyso deployment. So if your company, Acme Inc. has its own Kyso instance available on, that is the value that has to be assigned to it.

In the root directory of the repository, create abitbucket-pipelines.yml that details the actions we want to run and when:

image: node:18

    - step:
        name: 'Publishing to Kyso'
        trigger: 'automatic'
          - npm install -g kyso
          - kyso login --kysoInstallUrl --provider kyso --username [YOUR EMAIL] --token [YOUR ACCESS TOKEN]
          - kyso push

Note that `--kysoInstallUrl` needs to point to your company's Kyso deployment. So if your company, Acme Inc., has their Kyso on, then that is your install url address!

So now every time we make a commit to this repository, whether on the UI or from the Command Line, the above script will be run, publishing and updating our work in Kyso.

Note that this is a super simple template using the example Starter pipeline configuration, but this can be integrated into much more powerful pipeline flows.

For example, you can decide to only push specific branches or tags.

Don't see or can't figure out how to set up your desired workflow? Simply reach out to us, let us know your use case and how you want your pipeline to work, and we'll send you the documentation!!

Executing the CI Pipeline

Using our example repository from above, as we commit changes to the Bitbucket project, a Docker image is created to run our job. We can check out the pipeline logs at Clicking into one of the most recent successful merges, we should see something like this:

Maintaining a QA process with Pull Requests

Similar to our documentation on Github Actions, we can maintain a QA process, ensuring only merged/reviewed work is pushed upstream to Kyso.

So, for example, if you work with a team of scientists, data scientists, etc.., all pushing and pulling to and from the same repository, you're going to want to control how, when and what changes get published to Kyso.

Because a merged pull request always results in a push, we can just use the push event to accomplish our goal. So the above workflow will run when a PR is merged or when a commit is made directly to the master branch.

To make this workflow even more secure, it has been recommended that you add branch protection rules to your main branch!

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