Zeppelin VS Spark Notebook

Compare Zeppelin vs Spark Notebook and see what are their differences.

Zeppelin

Web-based notebook that enables data-driven, interactive data analytics and collaborative documents with SQL, Scala and more. (by apache)

Spark Notebook

Interactive and Reactive Data Science using Scala and Spark. (by spark-notebook)
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Zeppelin Spark Notebook
7 0
5,784 3,125
0.9% 0.0%
9.0 0.0
4 days ago 10 months ago
Java JavaScript
Apache License 2.0 Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Zeppelin

Posts with mentions or reviews of Zeppelin. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-05-14.

Spark Notebook

Posts with mentions or reviews of Spark Notebook. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning Spark Notebook yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing Zeppelin and Spark Notebook you can also consider the following projects:

Breeze - Breeze is a numerical processing library for Scala.

Figaro - Figaro Programming Language and Core Libraries

BigDL - Building Large-Scale AI Applications for Distributed Big Data

Smile - Statistical Machine Intelligence & Learning Engine

OpenMOLE - Workflow engine for exploration of simulation models using high throughput computing

PredictionIO - PredictionIO, a machine learning server for developers and ML engineers.

Algebird - Abstract Algebra for Scala

FACTORIE - FACTORIE is a toolkit for deployable probabilistic modeling, implemented as a software library in Scala. It provides its users with a succinct language for creating relational factor graphs, estimating parameters and performing inference.

Chalk