Apache Zeppelin vs Jupyter: What are the differences?

Apache Zeppelin and Jupyter are both popular web-based notebooks used for data analysis and visualization. While they share many similarities, there are several key differences between the two.

1. Data Visualization: Apache Zeppelin provides built-in support for a wide range of visualizations, making it easier for users to create and customize charts, graphs, and dashboards. In contrast, Jupyter relies on external libraries such as Matplotlib and Plotly for data visualization.

2. Multi-Language Support: Zeppelin supports multiple programming languages such as Scala, Python, R, and SQL in a single notebook, allowing users to seamlessly switch between different languages. Jupyter, on the other hand, requires the use of separate kernels for different languages.

3. Collaboration and Sharing: Zeppelin offers built-in collaboration features, allowing multiple users to work on the same notebook simultaneously. It also provides easy sharing options for notebooks. Jupyter, while it supports collaboration through external tools like JupyterHub, does not have native collaboration features.

4. Integration: Zeppelin integrates well with Apache Spark and Hadoop, making it a preferred choice for big data analysis. Jupyter, on the other hand, offers more flexibility and can be easily integrated with a wide range of libraries and frameworks.

5. User Interface: Zeppelin has a more structured and organized user interface, with notebooks divided into paragraphs and cells. Jupyter has a more flexible and notebook-centric interface, allowing users to rearrange and customize cells as needed.

6. Community and Ecosystem: Jupyter has a larger and more active community, with a wide range of extensions, plugins, and libraries available for users. Zeppelin, while it has a growing community, may have a more limited ecosystem in comparison.

In summary, Apache Zeppelin and Jupyter are both powerful tools for data analysis, but they differ in terms of data visualization, multi-language support, collaboration features, integration capabilities, user interface, and community ecosystem. The choice between the two would depend on the specific requirements and preferences of the user.