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Webpack VS Plotly

Compare Webpack VS Plotly and see what are their differences

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Contents:
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  3. » Reviews
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Webpack logo Webpack

Webpack is a module bundler. Its main purpose is to bundle JavaScript files for usage in a browser, yet it is also capable of transforming, bundling, or packaging just about any resource or asset.

Plotly logo Plotly

Low-Code Data Apps
  • Webpack Landing page
    Landing page //
    2023-06-13
  • Plotly Landing page
    Landing page //
    2023-07-31

Webpack features and specs

  • Modular Bundling
    Webpack efficiently bundles all your modules (JavaScript, CSS, images, etc.) into manageable chunks, minimizing HTTP requests and enhancing load performance.
  • Code Splitting
    It allows splitting your codebase into 'chunks' which can be loaded on demand. This leads to faster initial page loads as only necessary chunks are loaded initially.
  • Hot Module Replacement (HMR)
    HMR allows you to update modules without needing a full refresh. This improves development speed and efficiency as live changes are instantly reflected in the application.
  • Advanced Configuration
    Webpack is highly configurable, accommodating various needs from simple setups to complex, custom configurations, making it versatile for different projects.
  • Strong Plugin Ecosystem
    There is a rich ecosystem of plugins available to extend Webpack's capabilities, such as minification, asset management, and more.
  • Tree Shaking
    Webpack supports tree shaking, a method to eliminate dead code from your bundle, resulting in more efficient, smaller output files.
  • Dependency Management
    It handles dependencies among modules effectively, automatically managing module load order and avoiding conflicts.

Possible disadvantages of Webpack

  • Complex Configuration
    Its extensive configuration options can be overwhelming, particularly for beginners, leading to a steep learning curve.
  • Build Time
    Complex configurations and large projects can result in slower build times, impacting development speed.
  • Documentation Issues
    Despite improvements, there are instances where Webpack's documentation might lack clarity, making it harder to find solutions for specific configurations.
  • Overhead for Simple Projects
    For small and simple projects, Webpack might be overkill, adding unnecessary complexity and setup time.
  • Compatibility Issues
    Occasionally, Webpack updates can lead to breaking changes, which may require significant adjustments to your configuration and codebase.

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.

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.

Webpack videos

+ Add

Learn Webpack - Full Tutorial for Beginners

More videos:

  • Review - Core Concepts of Webpack
  • Review - Learn Webpack Pt. 6: Cache Busting and Plugins

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

Category Popularity

0-100% (relative to Webpack and Plotly)

Webpack

Plotly

Web Application Bundler
100 100%
Web Application Bundler
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
JS Build Tools
100 100%
JS Build Tools
0% 0
Charting Libraries
0 0%
Charting Libraries
100% 100

User comments

Share your experience with using Webpack and Plotly. 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 Webpack and Plotly

Webpack Reviews

Rollup v. Webpack v. Parcel
Tool Prod Build Time One Prod Build Time Two Prod Build Time Three Prod Build Time Avg Parcel 738.509 s 35.364 s 35.592 s 269.82 avg s Rollup 0.712 s 0.665 s 0.714 s 0.697 avg s Webpack 3.636 s 3.805 s 4.305 s 3.915 avg s
Source: x-team.com
If you’ve ever configured Webpack, Parcel will blow your mind!
document.body.className = document.body.className.replace(/(^|\s)is-noJs(\s|$)/, "$1is-js$2")HomepageHomepageJavascriptBecome a memberSign inGet startedIf you’ve ever configured Webpack, Parcel will blow your mind!And how to hit the ground running with Parcel.Ibrahim ButtBlockedUnblockFollowFollowingMar 16, 2018Click here to share this article on LinkedIn »Zero...
Source: medium.com
First impressions with Parcel JS
From first impressions and experience, my take currently would be as follows. Webpack is generally going to be more flexible. It also places a bit more power in the developers hands to make bundling happen exactly as desired. That isn’t to say you shouldn’t use Parcel though. Where Parcel excels is the fact you don’t configure it. You will still need to configure plugins for...
Source: codeburst.io
Parcel vs webpack - Jakob Lind
Webpack is the stable choice. You will not get fired for picking webpack. But you don’t get as much stuff for free such as optimized bundles, and code splitting.
Source: blog.jakoblind.no

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 that’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

Social recommendations and mentions

Based on our record, Webpack should be more popular than Plotly. It has been mentiond 253 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.

Webpack mentions (253)

  • History of JavaScript: Browser wars, ECMAScript, Node.js, TypeScript, and React
    In 2012, Webpack was released as an open-source JavaScript module bundler. It takes dependencies as input and builds a dependency graph, enabling developers to take a modular approach to web application development. This allowed them to import almost anything to client-side code and, over time, became the foundation of the build process for React, Angular, Vue, and many other frameworks. - Source: dev.to / 2 months ago
  • Next.js vs Remix: What's the Difference?
    From a developer experience perspective, it's worth noting that Next.js was built using webpack for bundling, which has struggled to maintain performance. Therefore, when changing something in the code, reload times can be very slow. For this reason, the Next.js team has been working on getting full compatibility on its own bundler, Turbopack. As of Next.js 14, Turbopack is still considered beta but is much faster... - Source: dev.to / 4 months ago
  • Claude Code's Source Didn't Leak. It Was Already Public for Years.
    The reality is simple: minification was never security. It's a size optimization that bundlers like esbuild, Webpack, and Rollup do by default. Variable renaming slows down human readers but LLMs read minified code like you read formatted code. - Source: dev.to / 5 months ago
  • React Server Components without Next.js - what are the real alternatives today?
    There are also no-framework approaches. These rely directly on React-provided packages and low-level integrations with bundlers like Webpack or experimental support in tools like Bun. While technically possible, these setups are fragile. React explicitly does not guarantee stability of these internal APIs. Any team choosing this route must accept ongoing maintenance risk. - Source: dev.to / 7 months ago
  • Workspaces, react and vite. A real-world case study for managing duplicate libraries.
    Before addressing the solution, it's useful to contextualize the role of the bundler. In a modern frontend architecture, the bundler (such as webpack, rollup, or vite) has the task of traversing the application's dependency graph, resolving each import statement, to combine modules and assets into static files optimized for browser execution. - Source: dev.to / 9 months ago
View more

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 / 6 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!🤓
    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 / almost 2 years 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

What are some alternatives?

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

rollup.js - Rollup is a module bundler for JavaScript which compiles small pieces of code into a larger piece such as application.

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.

Babel - Babel is a compiler for writing next generation JavaScript.

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

Parcel - Blazing fast, zero configuration web application bundler

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.

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