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Luciano Resende, Felipe Barros Elyra an AI development workspace based on Jupyter Notebooks
Elyra: an AI development workspace based on Jupyter Notebooks, simplifying notebook-based development, code editor, pipelines, and more.
- Elyra is an AI development workspace based on Jupyter Notebooks, built on top of open-source tools.
- It aims to simplify and refactor notebook-based development, making it easier to build, run, and manage AI models.
- Elyra builds on top of JupyterLab, leveraging its editor features, such as code completion, debugging, and visualization.
- The project was started to address issues with data science and AI development, including complexity, scalability, and reproducibility.
- Elyra provides a visual code editor, allowing users to drag-and-drop nodes to build pipelines, and set properties for each node.
- The project supports various runtimes, including Airflow, Kubeflow, and Docker, allowing users to run pipelines on different platforms.
- Elyra also provides integration with LSP (Language Server Protocol) for code completion and debugging.
- The project is open-source and community-driven, with a focus on collaboration and contribution.
- Elyra aims to provide a one-stop-shop for data scientists and AI engineers, simplifying the model development life cycle.
- The project is extensible, allowing users to add custom nodes and extensions.
- Elyra has been used in production environments and has a growing community of users and contributors.
- The project provides a reusable code snippets extension, allowing users to share and reuse code.
- Elyra supports various programming languages, including Python, R, and Scala.
- The project has a strong focus on community engagement, with regular dev meetings and contribution opportunities.
- Elyra aims to simplify the process of building, running, and managing AI models, making it easier for data scientists and AI engineers to focus on their work.