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Parcel VS Portable Python

Compare Parcel VS Portable Python and see what are their differences

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

Parcel logo Parcel

Blazing fast, zero configuration web application bundler

Portable Python logo Portable Python

Minimum bare bones portable python distribution with PyScripter as development environment.
  • Parcel Landing page
    Landing page //
    2021-12-13
  • Portable Python Landing page
    Landing page //
    2023-10-01

Parcel features and specs

  • Zero Configuration
    Parcel requires minimal to no configuration to get started, making it extremely user-friendly, especially for beginners or small projects.
  • Fast Bundling
    Parcel uses worker threads to parallelize tasks, which significantly speeds up the bundling process compared to other bundlers that do not use this approach.
  • Out-of-the-box support for many file types
    Parcel supports many file types (e.g., JavaScript, CSS, HTML, images) right out-of-the-box without needing additional plugins or configurations.
  • Hot Module Replacement (HMR)
    Parcel offers built-in HMR, allowing developers to see changes in real-time without needing to refresh the browser, leading to a faster development cycle.
  • Tree Shaking
    Parcel automatically performs tree shaking, removing unused code from the production build to reduce file sizes, which can improve loading times.
  • Code Splitting
    Parcel has automatic code splitting capabilities which help to improve performance by loading only the necessary assets.
  • Extensible via Plugins
    Parcelโ€™s plugin system allows developers to extend its functionality easily if custom or additional features are needed.

Possible disadvantages of Parcel

  • Community and Ecosystem
    The community and ecosystem around Parcel are smaller compared to other bundlers like Webpack, so finding solutions and third-party plugins might be more challenging.
  • Limited Customization
    While the zero-config aspect is beneficial, it also means there are fewer customization options out-of-the-box, which might be limiting for complex projects needing specific configurations.
  • Performance with Large Projects
    For very large projects, Parcel's performance can become a bottleneck, particularly when it comes to initial build times.
  • Documentation
    The documentation, while improving, is not as comprehensive as some other tools, making it harder for developers to find detailed information when they encounter issues.
  • Dependency Bloat
    Parcel can sometimes include more dependencies than necessary in the final bundle, potentially increasing the final bundle size.

Portable Python features and specs

  • Ease of Use
    Portable Python comes with everything configured and ready to run, making it easy for users to start working with Python without extensive setup.
  • Portability
    It can be run from a USB stick or any other portable device, which makes it convenient for use across different computers without installation.
  • Integrated Packages
    Includes a collection of Python packages and tools, such as PyCharm, PyQT, and Django, which streamlines the development process.
  • No Administrative Privileges Needed
    Users can run Portable Python without needing administrative privileges on Windows machines, making it accessible in restricted environments.

Possible disadvantages of Portable Python

  • Lack of Updates
    Portable Python is not frequently updated, which may lead to compatibility issues with newer Python projects and libraries.
  • Limited Support
    Being less popular compared to standard Python distributions, it may lack community support and comprehensive documentation.
  • Windows Only
    Portable Python is designed primarily for Windows environments, limiting its accessibility for users on other operating systems like macOS or Linux.
  • Dependency Conflicts
    Managing and updating packages may lead to conflicts, especially as the application ages and dependencies change over time.

Analysis of Parcel

Overall verdict

  • Parcel is a good choice for developers looking for a hassle-free, efficient, and beginner-friendly bundler. Its minimal configuration approach and speed make it ideal for small to medium-sized projects. However, for highly complex projects that require intricate and highly customized build processes, other bundlers might be more suitable due to their advanced configuration capabilities.

Why this product is good

  • Parcel is a web application bundler that is appreciated for its simplicity and zero-config philosophy. It automatically detects the files needed for a project without requiring a complex configuration file. Its fast performance is attributed to parallelization and efficient caching. Additionally, Parcel offers out-of-the-box support for JavaScript, CSS, HTML, asset management, and various types of file transformations, making it a versatile tool for web developers.

Recommended for

  • Developers new to module bundlers or looking for an easy-to-setup tool.
  • Projects that value speed and simplicity in their build processes.
  • Developers who need a bundler capable of handling multiple asset types with minimal configuration.
  • Teams that prefer convention over configuration and want to get started quickly without diving deep into complex bundler settings.

Parcel videos

+ Add

Danby Parcel Guard Smart Mailbox blogger Review

More videos:

  • Review - PARCEL MOVIE REVIEW | SASWATA CHATTERJEE | RITUPARNA SENGUPTA | RUPAM'S REVIEW
  • Review - Le Parcel Box review

Portable Python videos

No Portable Python videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Parcel and Portable Python)

Parcel

Portable Python

Web Application Bundler
100 100%
Web Application Bundler
0% 0
Text Editors
0 0%
Text Editors
100% 100
JS Build Tools
100 100%
JS Build Tools
0% 0
IDE
0 0%
IDE
100% 100

User comments

Share your experience with using Parcel and Portable Python. 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 Parcel and Portable Python

Parcel Reviews

Rollup v. Webpack v. Parcel
Parcel's caching feature sees dramatically decreases in time consumption after the initial run. For frequent, small changes, in smaller projects **Parcel*8 is a great choice.
Source: x-team.com
If youโ€™ve ever configured Webpack, Parcel will blow yourย mind!
document.body.className = document.body.className.replace(/(^|\s)is-noJs(\s|$)/, "$1is-js$2")HomepageHomepageJavascriptBecome a memberSign inGet startedIf youโ€™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 ยปZero...
Source: medium.com
First impressions with Parcelย JS
The big selling point of Parcel though is that it offers a zero configuration experience. This means all the features are available out of the box! It also boasts blazing fast bundle times ๐Ÿ‘Ÿ You wonโ€™t be configuring how Parcel works or having to draft in various plugins to get started. If you do need something, Parcel magically detects this and will pull in stuff for you on...
Source: codeburst.io
Parcel vs webpack - Jakob Lind
Parcel has made their own benchmarks of Parcel and other bundlers. Parcel has been criticized because they have not made the benchmarks open source. People cannot verify that the benchmarks are true when they are not open source.
Source: blog.jakoblind.no

Portable Python Reviews

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

Social recommendations and mentions

Based on our record, Parcel seems to be a lot more popular than Portable Python. While we know about 115 links to Parcel, we've tracked only 2 mentions of Portable Python. 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.

Parcel mentions (115)

  • JavaScript Awesome Package
    Parcel - Blazing fast, zero configuration web application bundler. - Source: dev.to / 6 months ago
  • Nix + pnpm + Parcel + lydell/elm-safe-virtual-dom
    Pnpm and Parcel are used to build the application in nix/app.nix. - Source: dev.to / 6 months ago
  • Migrating a JavaScript Project from Prettier and ESLint to BiomeJS
    Https://parceljs.org/ is another. It even supports languages like `` out of the box which is pretty cool. IIRC it downloads necessarily plugins on the fly. - Source: Hacker News / about 1 year ago
  • Create React App is Deprecated โ€“ Whatโ€™s Next ?
    Parcel is another alternative that requires zero configuration and is super fast. If you want a simple React setup without any hassle, Parcel is a great choice. - Source: dev.to / over 1 year ago
  • Bun 1.2 Is Released
    From its documentation [1] it looks a lot like a parceljs replacement [2], i.e. a zero config bundler which processes and bundles the dependencies in .html pages. So great for simple websites, not for replacing an entire Vite stack. [1] https://bun.sh/docs/bundler/fullstack [2] https://parceljs.org. - Source: Hacker News / over 1 year ago
View more

Portable Python mentions (2)

  • Can my work till if I run Linux from a USB?
    Not likely, unless they were LOOKING for that kind of thing, which is also unlikely. However, many companies lock the bios to stop you changing the preferred boot order of the PC. You could also consider using Python Portable, therefore would not be actually installing anything https://sourceforge.net/projects/portable-python/. Source: over 3 years ago
  • Problem with rembg and portable python 3.8.9 x64
    Hello, i'm a compelte noob in python and have a problem with run rembg with portable python 3.8.9x64 (downloaded from https://sourceforge.net/projects/portable-python/). Source: over 4 years ago

What are some alternatives?

When comparing Parcel and Portable Python, you can also consider the following products

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.

WinPython - The easiest way to run Python, Spyder with SciPy and friends out of the box on any Windows PC...

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

PyCharm - Python & Django IDE with intelligent code completion, on-the-fly error checking, quick-fixes, and much more...

esbuild - An extremely fast JavaScript bundler and minifier

Anaconda - Anaconda is the leading open data science platform powered by Python.

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