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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
The RPM Package Manager (RPM) serves as a robust system for managing software packages, enabling users to compile software from source into easily distributable formats, as well as facilitating the installation, updating, and removal of these packages; it also allows for the querying of extensive details about both installed and uninstalled software packages, along with the ability to verify their integrity and the overall software installation process. Metadata related to the package is contained within the RPM header, a binary data structure that organizes information in specific tags, each associated with a defined meaning and type. Although this metadata is not embedded within the header, it is essential for the code that interprets the header to understand these definitions. In this structure, tags are identified solely by their numerical representation, and each tag can either be a simple scalar type or an array comprising these types. While the type system does not strictly enforce it, the RPM code conventionally assumes that related tags contain the same number of entries, ensuring a consistent organization of data. This design contributes significantly to the effectiveness of the RPM system in managing and maintaining software packages.
API Access
Has API
API Access
Has API
Integrations
Amazon SageMaker Studio Lab
Arize Phoenix
CodeQwen
CodeSign Secure
Coiled
Fedora
Fortran Package Manager
GaraSign
JetBrains DataSpell
Reo.Dev
Integrations
Amazon SageMaker Studio Lab
Arize Phoenix
CodeQwen
CodeSign Secure
Coiled
Fedora
Fortran Package Manager
GaraSign
JetBrains DataSpell
Reo.Dev
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
RPM Package Manager
Website
rpm.org