Yarn vs pip

Overview

pip

Stacks799

Followers182

Votes3

Yarn

Stacks28.2K

Followers13.5K

Votes151

GitHub Stars41.5K

Forks2.7K

Yarn vs pip: What are the differences?

Yarn vs pip

Introduction

Yarn and pip are package managers that are widely used by developers. Both tools provide a convenient way to manage dependencies in a project. However, there are some key differences between Yarn and pip that make them suited for different use cases.

Installation process: Yarn is a JavaScript package manager, while pip is a package installer for Python. The installation process for each tool differs based on the programming language they are associated with. Yarn requires Node.js to be installed, while pip comes bundled with Python.
Package registries: Yarn primarily uses the npm (Node Package Manager) registry to fetch and manage packages. On the other hand, pip uses the Python Package Index (PyPI) as its default package registry. This difference in package registries means that Yarn is more focused on JavaScript packages, while pip is dedicated to Python packages.
Lock files: Yarn generates a "yarn.lock" file that captures the exact version of each package dependency used in a project. This lock file ensures deterministic builds by guaranteeing that all developers who work on the project use the same package versions. Pip, on the other hand, relies on the "requirements.txt" file, which includes the packages needed for a project but does not capture the exact versions.
Virtual environments: Pip makes use of virtual environments, which are isolated Python environments that allow for dependency separation between projects. Virtual environments enable developers to manage project dependencies separately without conflicts. Yarn does not provide built-in support for virtual environments. However, developers can use other tools like "nvm" (Node Version Manager) to achieve a similar level of dependency isolation.
Package managers' commands: The commands used in Yarn and pip to manage packages differ due to the differences in their underlying languages. Yarn's commands, such as "yarn add" and "yarn remove," are used specifically for managing JavaScript packages. Pip, on the other hand, uses commands like "pip install" and "pip uninstall" to manage Python packages.
Community and ecosystem: Yarn and pip have their own dedicated communities and ecosystems. Yarn is primarily used in the JavaScript and Node.js ecosystem, which offers a wide range of packages and tools for web development. Pip, on the other hand, is deeply integrated into the Python ecosystem, offering an extensive collection of packages for various domains, including data science, web development, and machine learning.

In Summary, Yarn and pip differ in their installation process, package registries, handling of lock files, support for virtual environments, commands used for package management, and the ecosystems they are associated with.

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Advice on pip, Yarn

StackShare

Apr 23, 2019

Needs adviceon

Node.js

npm

Yarn

From a StackShare Community member: “I’m a freelance web developer (I mostly use Node.js) and for future projects I’m debating between npm or Yarn as my default package manager. I’m a minimalist so I hate installing software if I don’t need to- in this case that would be Yarn. For those who made the switch from npm to Yarn, what benefits have you noticed? For those who stuck with npm, are you happy you with it?"

294k views294k

Comments

zen-li

Apr 24, 2019

Reviewon

Yarn

p.s.

I am not sure about the performance of the latest version of npm, whether it is different from my understanding of it below. Because I use npm very rarely when I had the following knowledge.

------⏬

I use Yarn because, first, yarn is the first tool to lock the version. Second, although npm also supports the lock version, when you use npm to lock the version, and then use package-lock.json on other systems, package-lock.json Will be modified. You understand what I mean, when you deploy projects based on Git...

250k views250k

Comments

Oleksandr

Senior Software Engineer at joyn

Dec 7, 2019

Decided

As we have to build the application for many different TV platforms we want to split the application logic from the device/platform specific code. Previously we had different repositories and it was very hard to keep the development process when changes were done in multiple repositories, as we had to synchronize code reviews as well as merging and then updating the dependencies of projects. This issues would be even more critical when building the project from scratch what we did at Joyn. Therefor to keep all code in one place, at the same time keeping in separated in different modules we decided to give a try to monorepo. First we tried out lerna which was fine at the beginning, but later along the way we had issues with adding new dependencies which came out of the blue and were not easy to fix. Next round of evolution was yarn workspaces, we are still using it and are pretty happy with dev experience it provides. And one more advantage we got when switched to yarn workspaces that we also switched from npm to yarn what improved the state of the lock file a lot, because with npm package-lock file was updated every time you run npm install, frequent updates of package-lock file were causing very often merge conflicts. So right now we not just having faster dependencies installation time but also no conflicts coming from lock file.

310k views310k

Comments

Detailed Comparison

pip	Yarn
It is the package installer for Python. You can use pip to install packages from the Python Package Index and other indexes.	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.
Statistics
GitHub Stars -	GitHub Stars 41.5K
GitHub Forks -	GitHub Forks 2.7K
Stacks 799	Stacks 28.2K
Followers 182	Followers 13.5K
Votes 3	Votes 151
Pros & Cons
Pros 3 Best package management system for python	Pros 85 Incredibly fast 22 Easy to use 13 Open Source 11 Can install any npm package 8 Works where npm fails Cons 16 Facebook 7 Sends data to facebook 4 Should be installed separately 3 Cannot publish to registry other than npm
Integrations
No integrations available	JavaScript npm

What are some alternatives to pip, Yarn?

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

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

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.

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.

Pika.dev

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

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.

Browserify-CDN

Browsers don't have the require method defined, but Node.js does. With Browserify you can write code that uses require in the same way that you would use it in Node.

Entropic

It is a new package registry with a new CLI, designed to be easy to stand up inside your network. It features an entirely new file-centric API and a content-addressable storage system that attempts to minimize the amount of data you must retrieve over a network. This file-centric approach also applies to the publication API.

Related Comparisons

Yarn vs pip: What are the differences?

Yarn vs pip

Introduction

Installation process: Yarn is a JavaScript package manager, while pip is a package installer for Python. The installation process for each tool differs based on the programming language they are associated with. Yarn requires Node.js to be installed, while pip comes bundled with Python.
Package registries: Yarn primarily uses the npm (Node Package Manager) registry to fetch and manage packages. On the other hand, pip uses the Python Package Index (PyPI) as its default package registry. This difference in package registries means that Yarn is more focused on JavaScript packages, while pip is dedicated to Python packages.
Lock files: Yarn generates a "yarn.lock" file that captures the exact version of each package dependency used in a project. This lock file ensures deterministic builds by guaranteeing that all developers who work on the project use the same package versions. Pip, on the other hand, relies on the "requirements.txt" file, which includes the packages needed for a project but does not capture the exact versions.
Virtual environments: Pip makes use of virtual environments, which are isolated Python environments that allow for dependency separation between projects. Virtual environments enable developers to manage project dependencies separately without conflicts. Yarn does not provide built-in support for virtual environments. However, developers can use other tools like "nvm" (Node Version Manager) to achieve a similar level of dependency isolation.
Package managers' commands: The commands used in Yarn and pip to manage packages differ due to the differences in their underlying languages. Yarn's commands, such as "yarn add" and "yarn remove," are used specifically for managing JavaScript packages. Pip, on the other hand, uses commands like "pip install" and "pip uninstall" to manage Python packages.
Community and ecosystem: Yarn and pip have their own dedicated communities and ecosystems. Yarn is primarily used in the JavaScript and Node.js ecosystem, which offers a wide range of packages and tools for web development. Pip, on the other hand, is deeply integrated into the Python ecosystem, offering an extensive collection of packages for various domains, including data science, web development, and machine learning.

In Summary, Yarn and pip differ in their installation process, package registries, handling of lock files, support for virtual environments, commands used for package management, and the ecosystems they are associated with.

Yarn vs pip

Overview

Yarn vs pip: What are the differences?

Yarn vs pip

Introduction