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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Conda serves as an open-source solution for managing packages, dependencies, and environments across various programming languages, including Python, R, Ruby, Lua, Scala, Java, JavaScript, C/C++, Fortran, and others. This versatile system operates seamlessly on multiple platforms such as Windows, macOS, Linux, and z/OS. With the ability to swiftly install, execute, and upgrade packages alongside their dependencies, Conda enhances productivity. It simplifies the process of creating, saving, loading, and switching between different environments on your device. Originally designed for Python applications, Conda's capabilities extend to packaging and distributing software for any programming language. Acting as an efficient package manager, it aids users in locating and installing the packages they require. If you find yourself needing a package that depends on an alternate Python version, there’s no need to switch to a different environment manager; Conda fulfills that role as well. You can effortlessly establish an entirely separate environment to accommodate that specific version of Python, while still utilizing your standard version in your default environment. This flexibility makes Conda an invaluable tool for developers working with diverse software requirements.

Description

Yarn serves as a dual-purpose tool, functioning both as a package manager and a project manager. It caters to a diverse range of users, from hobbyists to large enterprises, whether you're engaged in quick projects or comprehensive monorepos. With Yarn, you can compartmentalize your project into various sub-components within a single repository. One of its key features is the assurance that an installation that works today will continue to perform consistently in the future. While Yarn may not address every issue you face, it provides a solid base for further solutions. We are committed to redefining the developer experience and questioning conventional practices. As an independent open-source initiative, Yarn is not affiliated with any corporation, and your support is crucial to our success. Yarn has a comprehensive understanding of your dependency tree and takes care of installing it on your disk, so why should Node be responsible for locating your packages? Instead, it is the responsibility of the package manager to notify the interpreter about where the packages are stored on the disk and to handle any relationships and versioning between those packages. This shift in responsibility could enhance the overall efficiency of project management in development environments. Ultimately, Yarn aims to streamline the development process, making it easier for developers to focus on building great software.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Reo.Dev
Seeker
Amazon SageMaker Studio Lab
Arize Phoenix
CodeQwen
Coiled
Fortran Package Manager
JetBrains DataSpell
Replit Agent
ServiceBell
Sonatype Nexus Repository
Spark NLP
Travis CI
Umami
Volca
WebLLM
garak

Integrations

Reo.Dev
Seeker
Amazon SageMaker Studio Lab
Arize Phoenix
CodeQwen
Coiled
Fortran Package Manager
JetBrains DataSpell
Replit Agent
ServiceBell
Sonatype Nexus Repository
Spark NLP
Travis CI
Umami
Volca
WebLLM
garak

Pricing Details

Free
Free Trial
Free Version

Pricing Details

Free
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Conda

Website

docs.conda.io

Vendor Details

Company Name

Yarn

Website

yarnpkg.com

Product Features

Alternatives

Alternatives

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YUM Reviews

YUM

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