Jupyter is an open source interactive notebook technology that enables users to write and execute code in real time, visualize results and create dynamic documents including code, graphics, images and text. Jupyter notebooks support multiple programming languages, including Python, R and Julia, enabling users to perform interactive data exploration
Category
Applications
Contexts
JupyterLab Spark 3.1
STABLE
JupyterLab Python 3.8/3.9/3.10
STABLE
JupyterLab+GenAI 4.0 Python 3.10
STABLE
The integration of Jupyter into Saagie’s DataOps platform offers a number of advantages. Firstly, it gives teams easy access to Jupyter’s interactive environment for developing, documenting and sharing notebooks.
Thanks to this integration into the Saagie platform, creation and collaboration are simplified, guaranteeing the quality and relevance of work at every stage of the process. Jupyter notebooks can be enhanced with a series of plug-ins already available in the Saagie catalog: Jupyter AI.
Using Jupyter with Saagie enables teams to reduce the time needed to create interactive analyses, improve collaboration between data and development teams, and provide a flexible environment for data exploration and modeling.
Other IDEs (Integrated Development Environments) are available in the Saagie app catalog: VS Code, R Studio, Zeppelin.
