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Jupyter VS Apache Tomcat

Compare Jupyter VS Apache Tomcat and see what are their differences

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Jupyter logo Jupyter

Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.

Apache Tomcat logo Apache Tomcat

An open source software implementation of the Java Servlet and JavaServer Pages technologies
  • Jupyter Landing page
    Landing page //
    2023-06-22
  • Apache Tomcat Landing page
    Landing page //
    2023-01-24

Jupyter features and specs

  • Interactive Computing
    Jupyter allows real-time interaction with the data and code, providing immediate feedback and making it easier to experiment and iterate.
  • Rich Media Output
    It supports output in various formats including HTML, images, videos, LaTeX, and more, enhancing the ability to visualize and interpret results.
  • Language Agnostic
    Jupyter supports multiple programming languages through its kernel system (e.g., Python, R, Julia), allowing flexibility in the choice of tools.
  • Collaborative Features
    It enables collaboration through shared notebooks, version control, and platform integrations like GitHub.
  • Educational Tool
    Jupyter is widely used for teaching, thanks to its easy-to-use interface and ability to combine narrative text with code, making it ideal for assignments and tutorials.
  • Extensibility
    Jupyter is highly extensible with a large ecosystem of plugins and extensions available for various functionalities.

Possible disadvantages of Jupyter

  • Performance Issues
    For larger datasets and more complex computations, Jupyter can be slower compared to running scripts directly in a dedicated IDE.
  • Version Control Challenges
    Managing version control for Jupyter notebooks can be cumbersome, as they are not plain text files and include metadata that can make diffing and merging complex.
  • Resource Intensive
    Running Jupyter notebooks can be resource-intensive, especially when working with multiple large notebooks simultaneously.
  • Security Concerns
    Because Jupyter allows code execution in the browser, it can be a potential security risk if notebooks from untrusted sources are run without restrictions.
  • Dependency Management
    Managing dependencies and ensuring that the notebook runs consistently across different environments can be challenging.
  • Less Suitable for Production
    Jupyter is often considered more as a research and educational tool rather than a production environment; transitioning from a notebook to production code can require significant refactoring.

Apache Tomcat features and specs

  • Open Source
    Apache Tomcat is an open-source software, which means it is freely available for use and modifications. This can significantly reduce the cost of ownership and allows for customization.
  • Community Support
    Being a widely-used open-source server, Tomcat has a large and active community of developers and users who contribute to its documentation, plugins, and forums, providing extensive support.
  • Lightweight
    Tomcat is designed to be a lightweight servlet container, making it faster and less resource-intensive compared to full-blown Java EE application servers.
  • Integration with Popular Frameworks
    Tomcat integrates well with popular Java frameworks such as Spring and Hibernate, making it easier for developers to deploy and manage web applications.
  • Easy to Set Up and Configure
    Tomcat is relatively easy to set up and configure, making it suitable for both development and production environments.
  • Frequent Updates
    Regular updates and patches are released to improve performance, security, and compatibility, ensuring the server is up-to-date with the latest web technologies.

Possible disadvantages of Apache Tomcat

  • Limited Functionality
    While Tomcat is a powerful servlet container, it lacks some of the advanced features found in full-fledged Java EE application servers, which might be necessary for complex enterprise applications.
  • Resource Management
    Tomcat's default configuration might not be suitable for high traffic web applications, requiring significant tweaking and tuning to handle heavy loads effectively.
  • Documentation Quality
    The documentation, while extensive, can sometimes be hard to navigate and understand, especially for beginners. This can slow down the learning curve.
  • Limited Built-in Tools
    Compared to other full-stack application servers, Tomcat comes with limited built-in tooling for monitoring, load balancing, and clustering, often requiring third-party solutions.
  • Security Concerns
    As with any open-source project, security vulnerabilities may emerge. It requires constant monitoring and timely updates to ensure security.
  • Lack of EJB Support
    Tomcat does not support Enterprise JavaBeans (EJB), limiting its use in scenarios where EJB is a crucial component of the architecture.

Jupyter videos

What is Jupyter Notebook?

More videos:

  • Tutorial - Jupyter Notebook Tutorial: Introduction, Setup, and Walkthrough
  • Review - JupyterLab: The Next Generation Jupyter Web Interface

Apache Tomcat videos

Introducing Apache Tomcat 8.5

More videos:

  • Review - Webinar: Introduction to Apache Tomcat 8
  • Review - Tcat - The Leading Enterprise Apache Tomcat Application Server

Category Popularity

0-100% (relative to Jupyter and Apache Tomcat)
Data Science And Machine Learning
Web And Application Servers
Data Dashboard
100 100%
0% 0
Application Server
0 0%
100% 100

User comments

Share your experience with using Jupyter and Apache Tomcat. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Jupyter and Apache Tomcat

Jupyter Reviews

Jupyter Notebook & 10 Alternatives: Data Notebook Review [2023]
Once you install nteract, you can open your notebook without having to launch the Jupyter Notebook or visit the Jupyter Lab. The nteract environment is similar to Jupyter Notebook but with more control and the possibility of extension via libraries like Papermill (notebook parameterization), Scrapbook (saving your notebook’s data and photos), and Bookstore (versioning).
Source: lakefs.io
7 best Colab alternatives in 2023
JupyterLab is the next-generation user interface for Project Jupyter. Like Colab, it's an interactive development environment for working with notebooks, code, and data. However, JupyterLab offers more flexibility as it can be self-hosted, enabling users to use their own hardware resources. It also supports extensions for integrating other services, making it a highly...
Source: deepnote.com
12 Best Jupyter Notebook Alternatives [2023] – Features, pros & cons, pricing
Jupyter Notebook is a widely popular tool for data scientists to work on data science projects. This article reviews the top 12 alternatives to Jupyter Notebook that offer additional features and capabilities.
Source: noteable.io
15 data science tools to consider using in 2021
Jupyter Notebook's roots are in the programming language Python -- it originally was part of the IPython interactive toolkit open source project before being split off in 2014. The loose combination of Julia, Python and R gave Jupyter its name; along with supporting those three languages, Jupyter has modular kernels for dozens of others.
Top 4 Python and Data Science IDEs for 2021 and Beyond
Yep — it’s the most popular IDE among data scientists. Jupyter Notebooks made interactivity a thing, and Jupyter Lab took the user experience to the next level. It’s a minimalistic IDE that does the essentials out of the box and provides options and hacks for more advanced use.

Apache Tomcat Reviews

FOSS | Top 15 Web Servers 2021
Java programs are run using Apache Tomcat. To be more precise, it is a Java servlet – a Java software component that expands the functionality of a web server. Apache Tomcat, released under the Apache License version 2, is used by 0.1% of websites worldwide.
Source: www.zentao.pm
4 Open Source Application Servers (Comparison and Review)
Apache Tomcat is an open-source implementation of several Java technologies. It is the result of a collaboration of the finest developers worldwide. You can get involved with the development in a number of ways.
Source: shadow-soft.com
Top 5 open source web servers
Apache Tomcat is an open source Java servlet container that functions as a web server. A Java servlet is a Java program that extends the capabilities of a server. Although servlets can respond to any types of requests, they most commonly implement applications hosted on Web servers. Such web servlets are the Java counterpart to other dynamic web content technologies such as...
Source: opensource.com
Top 10 Open Source Java and JavaEE Application Servers
It is built upon a modular kernel powered by OSGi, and runs straight on top of the Apache Felix implementation. It is also capable of running with Equinox OSGi or Knopflerfish OSGi runtimes. HK2 abstracts the OSGi module system to provide components, which can also be viewed as services and injected into the run time and uses a derivative of Apache Tomcat as the servlet...

Social recommendations and mentions

Based on our record, Jupyter seems to be a lot more popular than Apache Tomcat. While we know about 216 links to Jupyter, we've tracked only 17 mentions of Apache Tomcat. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Jupyter mentions (216)

  • The 3 Best Python Frameworks To Build UIs for AI Apps
    Showcase and share: Easily embed UIs in Jupyter Notebook, Google Colab or share them on Hugging Face using a public link. - Source: dev.to / about 2 months ago
  • LangChain: From Chains to Threads
    LangChain wasn’t designed in isolation — it was built in the data pipeline world, where every data engineer’s tool of choice was Jupyter Notebooks. Jupyter was an innovative tool, making pipeline programming easy to experiment with, iterate on, and debug. It was a perfect fit for machine learning workflows, where you preprocess data, train models, analyze outputs, and fine-tune parameters — all in a structured,... - Source: dev.to / 3 months ago
  • Applied Artificial Intelligence & its role in an AGI World
    Leverage versatile resources to prototype and refine your ideas, such as Jupyter Notebooks for rapid iterations, Google Colabs for cloud-based experimentation, OpenAI’s API Playground for testing and fine-tuning prompts, and Anthropic's Prompt Engineering Library for inspiration and guidance on advanced prompting techniques. For frontend experimentation, tools like v0 are invaluable, providing a seamless way to... - Source: dev.to / 4 months ago
  • Jupyter Notebook for Java
    Lately I've been working on Langgraph4J which is a Java implementation of the more famous Langgraph.js which is a Javascript library used to create agent and multi-agent workflows by Langchain. Interesting note is that [Langchain.js] uses Javascript Jupyter notebooks powered by a DENO Jupiter Kernel to implement and document How-Tos. So, I faced a dilemma on how to use (or possibly simulate) the same approach in... - Source: dev.to / 8 months ago
  • JIRA Analytics with Pandas
    One of the most convenient ways to play with datasets is to utilize Jupyter. If you are not familiar with this tool, do not worry. I will show how to use it to solve our problem. For local experiments, I like to use DataSpell by JetBrains, but there are services available online and for free. One of the most well-known services among data scientists is Kaggle. However, their notebooks don't allow you to make... - Source: dev.to / 11 months ago
View more

Apache Tomcat mentions (17)

  • Java News: WildFly 36, Spring Milestones, and Open Liberty Updates
    Versions 11.0.6 and 9.0.104 of Apache Tomcat deliver new features and improvements. The release notes can be found for both versions. - Source: dev.to / 24 days ago
  • Artifactory: Centralizing Artifact Management for DevOps Success
    Download and Install Tomcat Before downloading, confirm the latest Tomcat build package from the official website. - Source: dev.to / 7 months ago
  • How to Deploy Applications Using Tomcat on a Web Server
    First, download the latest version of Tomcat from the official Apache Tomcat website. Choose the version that suits your needs, typically the latest stable release. - Source: dev.to / 11 months ago
  • Spring Boot Monitoring with Open-Source Tools
    Manual instrumentation allows you to define your Spans within the code itself rather than relying on automatic instrumentation finding the entry point for a trace. Manual instrumentation is especially helpful for applications that don’t use an application server such as Tomcat, JBoss, or Jetty. - Source: dev.to / over 1 year ago
  • Issue with chatgpy
    99% is a huge exaggeration. Two essential deployment tools off the top of my head: Https://tomcat.apache.org/ Https://docs.jboss.org/author/display/AS71/Developer%20Guide.html. Source: about 2 years ago
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What are some alternatives?

When comparing Jupyter and Apache Tomcat, you can also consider the following products

Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

Microsoft IIS - Internet Information Services is a web server for Microsoft Windows

Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?

Apache HTTP Server - Apache httpd has been the most popular web server on the Internet since April 1996

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

LiteSpeed Web Server - LiteSpeed Web Server (LSWS) is a high-performance Apache drop-in replacement.