JupyterLab is a web-based interactive development environment for Jupyter notebooks, code, and data. JupyterLab is flexible: configure and arrange the user interface to support a wide range of workflows in data science, scientific computing, and machine learning. JupyterLab is extensible and modular: write plugins that add new components and integrate with existing ones.
The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more.
Language of choice – Jupyter supports over 40 programming languages, including Python, R, Julia, and Scala.
Share notebooks – Notebooks can be shared with others using email, Dropbox, GitHub and the Jupyter Notebook Viewer.
Interactive output – Your code can produce rich, interactive output: HTML, images, videos, LaTeX, and custom MIME types.
Big data integration – Leverage big data tools, such as Apache Spark, from Python, R and Scala. Explore that same data with pandas, scikit-learn, ggplot2, TensorFlow.
Source => https://jupyter.org/
Note: We can help make ‘Jupyter’ installer enterprise deployment ready.