5 Best Open Source Multi-Platform Data Science Notebook Software
Spark Notebook
The Spark Notebook is an open source notebook aimed at enterprise environments, providing Data Scientists and Data Engineers with an interactive web-based editor combining Scala code, SQL queries, Markup and JavaScript in a collaborative manner to explore, analyse and learn from massive data sets.
Features include:
- Multiple Spark Context Support – each notebook spawns a new JVM with its own SparkSession instance
- Perform reproducible analysis with Scala, Apache Spark, and the Big Data ecosystem
- Visualize the output of SQL queries directly as tables and charts
- Focused on Scala, SQL and Apache Spark
- Supports exclusively the Scala programming language, the Unpredicted Lingua Franca for Data Science and extensibly exploits the JVM ecosystem of libraries to drive an smooth evolution of data-driven software from exploration to production
- Components in the Spark Notebook are dynamic and reactive
| OS | Supported | Notes |
 |  | This software requires Java 7 or higher. Keep up-to-date with the latest developments by following on Twitter. Homepage: spark-notebook.io Developer: Andy Petrella and contributors License: Apache License 2.0 Written in: Java |
 | |
|
 | |
Back to Notebooks for Data Science
PROGRAMMING LANGUAGE PROFILES |
Click to rate this software
[Total: 0 Average: 0]
Steve Emms
Steve Emms is the main author of OSSBlog.org. This site aims to promote open source software and hardware. Steve has written thousands of articles about open source software. He is also the creator of LinuxLinks.com.