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  1. Stackups
  2. DevOps
  3. Build Automation
  4. Front End Package Manager
  5. Bundler vs Pika.dev

Bundler vs Pika.dev

OverviewComparisonAlternatives

Overview

Bundler
Bundler
Stacks1.3K
Followers64
Votes0
Pika.dev
Pika.dev
Stacks4
Followers10
Votes1

Bundler vs Pika.dev: What are the differences?

Developers describe Bundler as "*A consistent environment for tracking and installing gems and versions *". It provides a consistent environment for Ruby projects by tracking and installing the exact gems and versions that are needed. It is an exit from dependency hell, and ensures that the gems you need are present in development, staging, and production. On the other hand, Pika.dev is detailed as "A JavaScript package registry for the modern web". It is a new kind of package registry for the modern web. It handles formatting, configuring, building and publishing every package on the registry, so that individual authors don't have to.

Bundler and Pika.dev can be primarily classified as "Front End Package Manager" tools.

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Detailed Comparison

Bundler
Bundler
Pika.dev
Pika.dev

It provides a consistent environment for Ruby projects by tracking and installing the exact gems and versions that are needed. It is an exit from dependency hell, and ensures that the gems you need are present in development, staging, and production.

It is a new kind of package registry for the modern web. It handles formatting, configuring, building and publishing every package on the registry, so that individual authors don't have to.

-
A more secure registry; Protects the safety of the entire ecosystem; Every package is automatically published to npm; Registry that understands your source code
Statistics
Stacks
1.3K
Stacks
4
Followers
64
Followers
10
Votes
0
Votes
1
Pros & Cons
No community feedback yet
Pros
  • 1
    Deno support

What are some alternatives to Bundler, Pika.dev?

npm

npm

npm is the command-line interface to the npm ecosystem. It is battle-tested, surprisingly flexible, and used by hundreds of thousands of JavaScript developers every day.

RequireJS

RequireJS

RequireJS loads plain JavaScript files as well as more defined modules. It is optimized for in-browser use, including in a Web Worker, but it can be used in other JavaScript environments, like Rhino and Node. It implements the Asynchronous Module API. Using a modular script loader like RequireJS will improve the speed and quality of your code.

Browserify

Browserify

Browserify lets you require('modules') in the browser by bundling up all of your dependencies.

Yarn

Yarn

Yarn caches every package it downloads so it never needs to again. It also parallelizes operations to maximize resource utilization so install times are faster than ever.

Component

Component

Component's philosophy is the UNIX philosophy of the web - to create a platform for small, reusable components that consist of JS, CSS, HTML, images, fonts, etc. With its well-defined specs, using Component means not worrying about most frontend problems such as package management, publishing components to a registry, or creating a custom build process for every single app.

Verdaccio

Verdaccio

A simple, zero-config-required local private npm registry. Comes out of the box with its own tiny database, and the ability to proxy other registries (eg. npmjs.org), caching the downloaded modules along the way.

pip

pip

It is the package installer for Python. You can use pip to install packages from the Python Package Index and other indexes.

Duo

Duo

Duo is a next-generation package manager that blends the best ideas from Component, Browserify and Go to make organizing and writing front-end code quick and painless.

Ninject

Ninject

It is a lightning-fast, ultra-lightweight dependency injector for .NET applications. It helps you split your application into a collection of loosely-coupled, highly-cohesive pieces, and then glue them back together in a flexible manner. By using it to support your software's architecture, your code will become easier to write, reuse, test, and modify.

Poetry

Poetry

It helps you declare, manage and install dependencies of Python projects, ensuring you have the right stack everywhere. It comes with all the tools you might need to manage your projects in a deterministic way.

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