Software Alternatives, Accelerators & Startups

Webpack VS Datapane

Compare Webpack VS Datapane and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

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.

Datapane logo Datapane

Datapane is an API-first platform for building reporting and BI tools using Python.
  • Webpack Landing page
    Landing page //
    2023-06-13
  • Datapane Landing page
    Landing page //
    2023-09-10

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.

Datapane features and specs

  • Easy Report Generation
    Datapane simplifies the process of creating and sharing interactive reports using Python, allowing users to convert Python scripts and Jupyter notebooks into dynamic reports easily.
  • Integration with Python
    Datapane integrates seamlessly with Python, which is beneficial for data scientists and analysts who already utilize Python in their data pipelines and analyses.
  • Interactive Elements
    Reports can include interactive elements such as plots, tables, and controls, providing a more engaging way to present complex data insights.
  • Deployment Options
    Datapane offers multiple deployment options, including a cloud service for easy sharing and collaboration, as well as the ability to host on-premises or on private infrastructure.
  • Privacy and Security
    Users concerned about data privacy and security can choose to deploy Datapane on their infrastructure, maintaining control over their data.

Possible disadvantages of Datapane

  • Learning Curve
    Users not familiar with Python or scripting may find it challenging to get started with Datapane, as it requires coding knowledge for report creation.
  • Limited to Python
    Organizations not using Python heavily in their workflows may find Datapane less adaptable, as it primarily targets Python users.
  • Cost Considerations
    Depending on the chosen deployment and scale, there might be cost implications, particularly for the cloud-hosted version of Datapane.
  • Feature Limitations
    Some advanced customization or feature requirements might exceed the capabilities of Datapane, necessitating the use of additional tools or services.

Webpack videos

Learn Webpack - Full Tutorial for Beginners

More videos:

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

Datapane videos

Datapane Quick Overview

Category Popularity

0-100% (relative to Webpack and Datapane)
Web Application Bundler
100 100%
0% 0
Business Intelligence
0 0%
100% 100
JS Build Tools
100 100%
0% 0
Developer Tools
92 92%
8% 8

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Webpack and Datapane

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.

Datapane Reviews

We have no reviews of Datapane yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Webpack seems to be a lot more popular than Datapane. While we know about 253 links to Webpack, we've tracked only 8 mentions of Datapane. 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 / about 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

Datapane mentions (8)

  • How do you guys share R/Python based analyses to business stakeholders?
    PowerPoint will do. If there isn't too much data I will sometimes make a quick datapane html dashboard that I can also send their way. They like that, the plotly plots can be interactive so they can poke around. Nice quick solution that's easy to share. Source: almost 4 years ago
  • how do i convince data scientists to actually use my power bi dashboards?
    If you're going that route, check out Datapane - it's an open-source Python framework we're working on to create interactive reports from Plotly, Pandas, etc. Source: about 4 years ago
  • Ask HN: Who is hiring? (April 2022)
    Datapane | https://datapane.com | Remote (UK & Europe) Datapane is the frontend for the data science ecosystem. Our open-source library helps data scientists use the tools they love to create reports, dashboards, and apps for non-technical end-users. We are backed by some of the top investors in the world, and have grown to be the most popular way to create and share data science reports. We are proud to put the... - Source: Hacker News / over 4 years ago
  • Ask HN: Who is hiring? (January 2022)
    Datapane | https://datapane.com | Remote (Europe) Happy New Year! Datapane is the world's most popular way to create data science reports using Python. Our open-source framework is used by thousands of data scientists to create interactive reports, and our API-first platform serves over 50,000 people a month. We're a technical, remote team based in the UK and founded by YC alum and compsci PhDs. We're just closing... - Source: Hacker News / over 4 years ago
  • Free for dev - list of software (SaaS, PaaS, IaaS, etc.)
    Datapane - API for building interactive reports in Python and deploying Python scripts and Jupyter Notebooks as self-service tools. - Source: dev.to / about 5 years ago
View more

What are some alternatives?

When comparing Webpack and Datapane, 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.

ReportServer - In Reporting Services, URLs are used to access the Report Server Web service and the web portal. Before you can use either application, you must configure at least one URL each for the Web service and the web portal.

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

Combit - Reporting tool for software developers to integrate reporting functions in desktop, web and cloud applications. Made for development environments such as .NET, C#, Delphi, C++, ASP.NET, ASP.NET MVC, .NET Core etc. Supports a variety of data sources.

Parcel - Blazing fast, zero configuration web application bundler

JasperReports - JasperReports Server is a stand-alone and embeddable reporting server.