Introducing Elyra pipelines with custom component support

• elyra

  2 1,773 6.4 Python

  Elyra extends JupyterLab with an AI centric approach.

  

The Elyra open source project for JupyterLab aims to simplify common data science tasks. Its most popular feature is the Visual Pipeline Editor, which is used to create pipelines without the need for coding. You can run these pipelines in JupyterLab or on Kubeflow Pipelines or Apache Airflow.

• examples

  1 77 2.3 Jupyter Notebook

  A repository of examples for Elyra (https://github.com/elyra-ai/elyra) (by elyra-ai)

  

To get you going quickly, the component registry includes a few example custom components for each runtime platform. The Elyra examples GitHub repository includes information about those components and pipelines that illustrate their usage. These components are included for illustrative purposes only. Unless stated otherwise, the components were not created by the Elyra community and are therefore provided as is.

• WorkOS

  workos.com featured

  The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

  

• Airflow

  169 34,485 10.0 Python

  Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

  

The Elyra open source project for JupyterLab aims to simplify common data science tasks. Its most popular feature is the Visual Pipeline Editor, which is used to create pipelines without the need for coding. You can run these pipelines in JupyterLab or on Kubeflow Pipelines or Apache Airflow.

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