About
Package, dependency, and environment management for any language, Python, R, Ruby, Lua, Scala, Java, JavaScript, C/ C++, Fortran, and more. Conda is an open-source package management system and environment management system that runs on Windows, macOS, Linux, and z/OS. Conda quickly installs, runs, and updates packages and their dependencies. Conda easily creates, saves, loads, and switches between environments on your local computer. It was created for Python programs, but it can package and distribute software for any language. Conda as a package manager helps you find and install packages. If you need a package that requires a different version of Python, you do not need to switch to a different environment manager, because conda is also an environment manager. With just a few commands, you can set up a totally separate environment to run that different version of Python, while continuing to run your usual version of Python in your normal environment.
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About
IronPython is an open-source implementation of the Python programming language which is tightly integrated with .NET. IronPython can use .NET and Python libraries, and other .NET languages can use Python code just as easily. Experience a more interactive .NET and Python development experience with Python Tools for Visual Studio. IronPython is an excellent addition to .NET, providing Python developers with the power of the .NET. Existing .NET developers can also use IronPython as a fast and expressive scripting language for embedding, testing, or writing a new application from scratch. The CLR is a great platform for creating programming languages, and the DLR makes it all the better for dynamic languages. Also, the .NET (base class library, presentation foundation, etc.) gives developers an amazing amount of functionality and power. IronPython uses Python syntax and standard libraries and so your Python code will need to be updated accordingly.
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About
RT-LAB is OPAL-RT’s real-time simulation software combining performance and enhanced user experience. Fully integrated with MATLAB/Simulink®, RT-LAB offers the most complex model-based design for interaction with real-world environments. It provides the flexibility and scalability to achieve the most complex real-time simulation applications in the automotive, aerospace, power electronics, and power systems industries. Since its first application nearly 20 years ago on the Canadian Space Agency’s Canada Arm, RT-LAB has revolutionized the world of systems engineering, whether in space, on the ground or at sea. RT-LAB enables engineers and scientists to accelerate the development of new prototypes and to meet the most rigorous testing required by new and innovative technologies. RT-LAB handles everything, including code generation, with an easy-to-use interface. With just a few clicks of the mouse, a Simulink® model becomes an interactive real-time simulation application.
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About
Installing, patching, and removing software packages on Linux machines is one of the common tasks every sysadmin has to do. Here is how to get started with Linux package management in Linux Red Hat-based distributions (distros). Package management is a method of installing, updating, removing, and keeping track of software updates from specific repositories (repos) in the Linux system. Linux distros often use different package management tools. Red Hat-based distros use RPM (RPM Package Manager) and YUM/DNF (Yellow Dog Updater, Modified/Dandified YUM). YUM is the primary package management tool for installing, updating, removing and managing software packages in Red Hat Enterprise Linux. YUM performs dependency resolution when installing, updating, and removing software packages. YUM can manage packages from installed repositories in the system or from .rpm packages. There are many options and commands available to use with YUM.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
IT professionals and users in need of a solution to find and install packages and set up environments
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Audience
Developers requiring a scripting language for embedding, testing, or writing new applications
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Audience
Automotive companies in need of a real-time simulation solution
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Audience
Developers and anyone seeking a solution to manage software using YUM/DNF and RPM for Red Hat-based Linux systems
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
Screenshots and Videos |
Screenshots and Videos |
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Pricing
Free
Free Version
Free Trial
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Pricing
Free
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Pricing
Free
Free Version
Free Trial
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Reviews/
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Reviews/
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationConda
docs.conda.io
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Company InformationIronPython
ironpython.net
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Company InformationOPAL-RT TECHNOLOGIES
Founded: 1997
Canada
www.opal-rt.com/software-rt-lab/
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Company InformationRed Hat
United States
www.redhat.com/sysadmin/how-manage-packages
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Alternatives |
Alternatives |
Alternatives |
Alternatives |
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Categories |
Categories |
Categories |
Categories |
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Integrations
Amazon SageMaker Studio Lab
Arize Phoenix
CentOS
CodeQwen
Coiled
Fedora
Fortran Package Manager
JetBrains DataSpell
Python
Red Hat Enterprise Linux
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Integrations
Amazon SageMaker Studio Lab
Arize Phoenix
CentOS
CodeQwen
Coiled
Fedora
Fortran Package Manager
JetBrains DataSpell
Python
Red Hat Enterprise Linux
|
Integrations
Amazon SageMaker Studio Lab
Arize Phoenix
CentOS
CodeQwen
Coiled
Fedora
Fortran Package Manager
JetBrains DataSpell
Python
Red Hat Enterprise Linux
|
Integrations
Amazon SageMaker Studio Lab
Arize Phoenix
CentOS
CodeQwen
Coiled
Fedora
Fortran Package Manager
JetBrains DataSpell
Python
Red Hat Enterprise Linux
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