Redash VS Zeppelin

Compare Redash vs Zeppelin and see what are their differences.

Redash

Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data. (by getredash)

Zeppelin

Web-based notebook that enables data-driven, interactive data analytics and collaborative documents with SQL, Scala and more. (by apache)
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Redash Zeppelin
38 8
24,948 6,261
1.0% 0.4%
9.5 8.7
about 14 hours ago 7 days ago
Python Java
BSD 2-clause "Simplified" License 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.

Redash

Posts with mentions or reviews of Redash. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-02-26.

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 2024-02-04.

What are some alternatives?

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

Apache Superset - Apache Superset is a Data Visualization and Data Exploration Platform [Moved to: https://github.com/apache/superset]

Breeze - Breeze is a numerical processing library for Scala.

Metabase - The simplest, fastest way to get business intelligence and analytics to everyone in your company :yum:

Spark Notebook - Interactive and Reactive Data Science using Scala and Spark.

plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!

Algebird - Abstract Algebra for Scala

cube.js - 📊 Cube — The Semantic Layer for Building Data Applications

Figaro - Figaro Programming Language and Core Libraries

bokeh - Interactive Data Visualization in the browser, from Python

BigDL - Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, Baichuan, Mixtral, Gemma, etc.) on Intel CPU and GPU (e.g., local PC with iGPU, discrete GPU such as Arc, Flex and Max). A PyTorch LLM library that seamlessly integrates with llama.cpp, HuggingFace, LangChain, LlamaIndex, DeepSpeed, vLLM, FastChat, ModelScope, etc.

Druid - Apache Druid: a high performance real-time analytics database.

Smile - Statistical Machine Intelligence & Learning Engine