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Plotly VS Apache Tomcat

Compare Plotly VS Apache Tomcat and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Plotly logo Plotly

Low-Code Data Apps

Apache Tomcat logo Apache Tomcat

An open source software implementation of the Java Servlet and JavaServer Pages technologies
  • Plotly Landing page
    Landing page //
    2023-07-31
  • Apache Tomcat Landing page
    Landing page //
    2023-01-24

Plotly features and specs

  • Interactivity
    Plotly offers highly interactive plots that allow users to pan, zoom, and hover over data points for more information. This enhances the user experience and provides deeper insights.
  • High-quality visualizations
    It provides aesthetically pleasing and highly customizable charts, making it suitable for publication-quality visuals.
  • Versatility
    Plotly supports multiple chart types including line charts, scatter plots, bar charts, and 3D plots, making it suitable for a wide range of applications.
  • Python integration
    Plotly is well-integrated with Python and works seamlessly with other popular data science libraries like Pandas, NumPy, and Scikit-learn.
  • Web-based
    The plots can be easily embedded in web applications or dashboards, making it ideal for sharing insights over the internet.
  • Open-source
    Plotly offers an open-source version, which allows users to create and share visualizations without any cost.

Possible disadvantages of Plotly

  • Performance
    Rendering very large datasets can sometimes be slow, which may not be suitable for real-time data visualization requirements.
  • Learning curve
    Even though the library is well-documented, the extensive range of features can have a steep learning curve for beginners.
  • Cost for advanced features
    While the basic functionality is free, more advanced features, such as export to certain formats and additional customizable options, require a paid subscription.
  • Dependency management
    Plotly has a number of dependencies that need to be managed properly, which can sometimes complicate the setup process.
  • Complexity
    For simple visualizations, Plotly might be overkill and simpler libraries like Matplotlib or Seaborn could be more appropriate.

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.

Analysis of Plotly

Overall verdict

  • Overall, Plotly is a strong choice for those looking to create dynamic and interactive data visualizations, thanks to its range of features and ease of integration with web technologies.

Why this product is good

  • Plotly is considered good because it offers a comprehensive suite of tools for creating interactive visualizations that can be used in web applications, reports, and dashboards. It supports many different types of plots, is easy to use for both beginners and experienced developers, and integrates well with popular programming languages like Python, R, and JavaScript.

Recommended for

    Plotly is recommended for data scientists, analysts, and developers who need to create interactive and visually appealing data visualizations. It's particularly useful for those who work with Python or R and want the ability to embed their visualizations in web applications or dashboards.

Analysis of Apache Tomcat

Overall verdict

  • Apache Tomcat is generally regarded as a reliable and effective solution for serving Java applications. Its widespread use and strong community support make it an excellent choice for developers who require a straightforward and efficient servlet container.

Why this product is good

  • Apache Tomcat is a robust, open-source web server and servlet container used to deploy Java Servlets and JSPs (Java Server Pages). It is developed and maintained by the Apache Software Foundation, which ensures a high level of support and regular updates. Tomcat is known for its lightweight nature, ease of use, and ability to integrate seamlessly with many Java-based applications.

Recommended for

  • Java developers in need of an open-source and lightweight servlet container.
  • Organizations looking to serve Java-based web applications.
  • Development teams that require a flexible and customizable environment with robust community support.

Plotly videos

+ Add

Create Real-time Chart with Javascript | Plotly.js Tutorial

More videos:

  • Review - Introducing plotly.py 3.0
  • Review - Is Plotly The Better Matplotlib?
  • Tutorial - Plotly Tutorial 2021
  • Review - Data Visualization as The First and Last Mile of Data Science Plotly Express and Dash | SciPy 2021

Apache Tomcat videos

+ Add

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 Plotly and Apache Tomcat)

Plotly

Apache Tomcat

Data Visualization
100 100%
Data Visualization
0% 0
Web And Application Servers
0 0%
Web And Application Servers
100% 100
Charting Libraries
100 100%
Charting Libraries
0% 0
Application Server
0 0%
Application Server
100% 100

User comments

Share your experience with using Plotly 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 Plotly and Apache Tomcat

Plotly Reviews

Best 8 Redash Alternatives in 2023 [In Depth Guide]
Plotly is specifically designed for companies who want to build and deploy analytic applications like dashboards using Python, Julia, or R without needing DevOps or Javascript developers.
Source: www.datapad.io
5 Best Python Libraries For Data Visualization in 2023
Plotly is a web-based data visualization toolkit that comes with unique functionalities such as dendrograms, 3D charts, and also contour plots, which is not very common in other libraries. It has a great API offering scatter plots, line charts, bar charts, error bars, box plots, and other visualizations. Plotly can even be accessed from a Python Notebook.
Source: www.technotification.com
Top 8 Python Libraries for Data Visualization
Plotly is a free open-source graphing library that can be used to form data visualizations. Plotly (plotly.py) is built on top of the Plotly JavaScript library (plotly.js) and can be used to create web-based data visualizations that can be displayed in Jupyter notebooks or web applications using Dash or saved as individual HTML files. Plotly provides more than 40 unique...
Source: www.geeksforgeeks.org
5 top picks for JavaScript chart libraries
Plotly is a graphing library thatโ€™s available for various runtime environments, including the browser. It supports many kinds of charts and graphs that we can configure with a variety of options.
Source: blog.logrocket.com

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 โ€“ 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...
Source: blog.idrsolutions.com

Social recommendations and mentions

Based on our record, Plotly should be more popular than Apache Tomcat. It has been mentiond 34 times since March 2021. 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.

Plotly mentions (34)

  • How to Analyze 47 Million Hacker News Posts: A Data Scientist's Dream Dataset Just Got Better
    Let's dive into some practical examples. First, you'll need to set up your environment with the right tools. I recommend using pandas for data manipulation and plotly for visualization. - Source: dev.to / 4 months ago
  • Python for Data Visualization: Best Tools and Practices
    Plotly is perfect for interactive visualizations. You can create interactive charts and graphs that allow users to hover, click, and zoom in. Plotly is also great for web-based visuals, making it easy to share your findings online. - Source: dev.to / over 1 year ago
  • Generative AI Powered QnA & Visualization Chatbot
    Front End: A React application that leverages React-Chatbotify library to easily integrate a chatbot GUI. It also uses the Plotly library to display the charts/visualizations. The generative AI implementation and details are entirely abstracted from the front end. The front-end application depends on a single REST endpoint of the backend application. - Source: dev.to / over 1 year ago
  • Build a Stock Dashboard in less than 40 lines of Python code!๐Ÿค“
    In this tutorial, Mariya Sha will guide you through building a stock value dashboard using Taipy, Plotly, and a dataset from Kaggle. - Source: dev.to / over 1 year ago
  • Essential Deep Learning Checklist: Best Practices Unveiled
    How to Accomplish: Utilize visualization libraries like Matplotlib, Seaborn, or Plotly in Python to create histograms, scatter plots, and bar charts. For image data, use tools that visualize images alongside their labels to check for labeling accuracy. For structured data, correlation matrices and pair plots can be highly informative. - Source: dev.to / about 2 years ago
View more

Apache Tomcat mentions (18)

  • Choosing a dependency
    For most mature organizations, commercial support is a requirement. Commercial dependencies provide such support by nature. For Open Source projects, support ranges from none to companies providing support on projects as part of their core business. Most of the time, these companies employ developers working on the project. For example, Tomitribe and HeroDevs offer support for the Tomcat servlet engine hosted by... - Source: dev.to / 8 months ago
  • 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 / about 1 year 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 / over 1 year 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 / about 2 years 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 donโ€™t use an application server such as Tomcat, JBoss, or Jetty. - Source: dev.to / over 2 years ago
View more

What are some alternatives?

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

D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.

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

RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...

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

Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.

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

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