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Average Ratings 0 Ratings

Total
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

Cython serves as an optimizing static compiler designed for both the Python language and the enhanced Cython language, which is rooted in Pyrex. It simplifies the process of creating C extensions for Python, making it as straightforward as writing Python itself. With Cython, developers can harness the strengths of both Python and C, enabling seamless interactions between Python code and C or C++ code at any point. By incorporating static type declarations in a Python-like syntax, users can easily enhance the performance of their readable Python code to that of plain C. The tool also provides combined source code level debugging, allowing developers to efficiently identify issues within their Python, Cython, and C code. Cython is particularly adept at managing large datasets, such as multi-dimensional NumPy arrays, facilitating the development of applications within the expansive and robust CPython ecosystem. Notably, the Cython language extends the capabilities of Python by allowing direct calls to C functions and the declaration of C types for variables and class attributes, ultimately enhancing the development experience. This fusion of languages not only broadens the possibilities for developers but also streamlines the process of optimizing Python applications.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Amazon SageMaker Studio Lab Yes 
Arize Phoenix Yes 
C++ No 
CodeQwen Yes 
Coiled Yes 
Fortran No 
Fortran Package Manager Yes 
Gensim No 
JetBrains DataSpell Yes 
Nyala Yes 
PyCharm No 
Python No 
Reo.Dev Yes 
Seeker Yes 
Sonatype Nexus Repository Yes 
Spark NLP Yes 
Thunder Compute Yes 
Travis CI Yes 
Ultralytics Yes 
scikit-image No 

Integrations

Amazon SageMaker Studio Lab No 
Arize Phoenix No 
C++ Yes 
CodeQwen No 
Coiled No 
Fortran Yes 
Fortran Package Manager No 
Gensim Yes 
JetBrains DataSpell No 
Nyala No 
PyCharm Yes 
Python Yes 
Reo.Dev No 
Seeker No 
Sonatype Nexus Repository No 
Spark NLP No 
Thunder Compute No 
Travis CI No 
Ultralytics No 
scikit-image Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

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 Yes 
Mac Yes 
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

Cython

Country

United States

Website

cython.org

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Product Features

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