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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

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

Enhance your productivity by tailoring your workspace to align with your personal working style. Make the most of your screen space by seamlessly organizing windows to reduce clutter and distractions. Creating customized layouts, widgets, and commands is straightforward, allowing you to personalize your environment as needed. Help is readily available whenever you encounter challenges. Utilize the comprehensive capabilities of the language to adapt it to your specific requirements. Our commitment is to consistently support the last three releases of CPython, the official Python interpreter, while also typically maintaining support for the most recent stable version of PyPy. You can find detailed information regarding the versions and interpreters that we test against in our tox configuration file, ensuring transparency and ease of access to our current standards. This adaptability not only fosters a more efficient workflow but also encourages continuous improvement in your coding practices.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Amazon SageMaker Studio Lab Yes 
Arize Phoenix Yes 
CodeQwen Yes 
Coiled Yes 
Fortran Package Manager Yes 
JetBrains DataSpell Yes 
Nyala Yes 
Python No 
Reo.Dev Yes 
Seeker Yes 
Sonatype Nexus Repository Yes 
Spark NLP Yes 
Thunder Compute Yes 
Travis CI Yes 
Ultralytics Yes 
garak Yes 

Integrations

Amazon SageMaker Studio Lab No 
Arize Phoenix No 
CodeQwen No 
Coiled No 
Fortran Package Manager No 
JetBrains DataSpell No 
Nyala No 
Python Yes 
Reo.Dev No 
Seeker No 
Sonatype Nexus Repository No 
Spark NLP No 
Thunder Compute No 
Travis CI No 
Ultralytics No 
garak No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Conda

Website

docs.conda.io

Vendor Details

Company Name

Qtile

Website

qtile.org

Product Features

Product Features

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