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  1. Stackups
  2. AI
  3. Development & Training Tools
  4. Data Science Notebooks
  5. Apache Zeppelin vs SageMath

Apache Zeppelin vs SageMath

OverviewComparisonAlternatives

Overview

Apache Zeppelin
Apache Zeppelin
Stacks190
Followers306
Votes32
GitHub Stars6.6K
Forks2.8K
SageMath
SageMath
Stacks11
Followers30
Votes0

SageMath vs Apache Zeppelin: What are the differences?

SageMath: A free open-source mathematical software system. It is a free open-source mathematics software system licensed under the GPL. It builds on top of many existing open-source packages: NumPy, SciPy, matplotlib, Sympy, Maxima, GAP, FLINT, R and many more; Apache Zeppelin: A web-based notebook that enables interactive data analytics. A web-based notebook that enables interactive data analytics. You can make beautiful data-driven, interactive and collaborative documents with SQL, Scala and more.

SageMath and Apache Zeppelin belong to "Data Science Notebooks" category of the tech stack.

Apache Zeppelin is an open source tool with 4.27K GitHub stars and 2.12K GitHub forks. Here's a link to Apache Zeppelin's open source repository on GitHub.

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Detailed Comparison

Apache Zeppelin
Apache Zeppelin
SageMath
SageMath

A web-based notebook that enables interactive data analytics. You can make beautiful data-driven, interactive and collaborative documents with SQL, Scala and more.

It is a free open-source mathematics software system licensed under the GPL. It builds on top of many existing open-source packages: NumPy, SciPy, matplotlib, Sympy, Maxima, GAP, FLINT, R and many more.

-
A browser-based notebook for review and re-use of previous inputs and outputs, including graphics and text annotations; A text-based command-line interface using IPython; Support for parallel processing using multi-core processors, multiple processors, or distributed computing
Statistics
GitHub Stars
6.6K
GitHub Stars
-
GitHub Forks
2.8K
GitHub Forks
-
Stacks
190
Stacks
11
Followers
306
Followers
30
Votes
32
Votes
0
Pros & Cons
Pros
  • 7
    In-line code execution using paragraphs
  • 5
    Cluster integration
  • 4
    In-line graphing
  • 4
    Multi-User Capability
  • 4
    Zeppelin context to exchange data between languages
No community feedback yet
Integrations
Cassandra
Cassandra
Apache Spark
Apache Spark
R Language
R Language
PostgreSQL
PostgreSQL
Elasticsearch
Elasticsearch
HBase
HBase
Hadoop
Hadoop
Apache Flink
Apache Flink
Python
Python
Python
Python
Plotly.js
Plotly.js
Polyaxon
Polyaxon

What are some alternatives to Apache Zeppelin, SageMath?

Jupyter

Jupyter

The Jupyter Notebook is a web-based interactive computing platform. The notebook combines live code, equations, narrative text, visualizations, interactive dashboards and other media.

Deepnote

Deepnote

Deepnote is building the best data science notebook for teams. In the notebook, users can connect their data, explore and analyze it with real-time collaboration and versioning, and easily share and present the polished assets to end users.

Google Colaboratory

Google Colaboratory

It is a hosted Jupyter Notebook service that requires no setup to use and provides free access to computing resources, including GPUs and TPUs. Colab is especially well suited to machine learning, data science, and education.

Polynote

Polynote

It is a different kind of notebook. It supports mixing multiple languages in one notebook, and sharing data between them seamlessly. It encourages reproducible notebooks with its immutable data model.

Franchise

Franchise

Chart with a single click. Compare queries side by side. Download your work and share it with anyone. If your data is in a CSV, JSON, or XLSX file, loading it is as simple as dropping the file into Franchise.

Starboard

Starboard

It is fully in-browser literate notebooks like Jupyter Notebook. It's probably the quickest way to visualize some data with interactivity, do some prototyping, or build a rudimentary dashboard.

Vayu

Vayu

It is an end-to-end tool for data science, without writing any code. Import, prepare, analyze, visualize and share in just a few clicks. Build interactive reports, automate workflows and share templates.

Marimo

Marimo

It is a reactive notebook for Python. It allows you to rapidly experiment with data and models, code with confidence in your notebook’s correctness, and productionize notebooks as pipelines or interactive web apps.

mljar Mercury

mljar Mercury

It is the easiest way to turn your Python Notebooks into interactive web applications and publish to the cloud. It is dual-licensed. The main features are available in the open-source version. It is perfect for quick demos, educational purposes, sharing notebooks with friends.

Luminal

Luminal

It is a new kind of Python notebook that makes it faster and easier to write Python scripts. It is built with static typing at its core from day one, it gives you the code insight you've always wanted.

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