DNF

DNF

DOCS
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About

DNF is a software package manager that installs, updates, and removes packages on Fedora and is the successor to YUM (Yellow-Dog Updater Modified). DNF makes it easy to maintain packages by automatically checking for dependencies and determining the actions required to install packages. This method eliminates the need to manually install or update the package, and its dependencies, using the rpm command. DNF is now the default software package management tool in Fedora. Removes packages installed as dependencies that are no longer required by currently installed programs. Checks for updates, but does not download or install the packages. Provides basic information about the package including name, version, release, and description.

About

The core of extensible programming is defining functions. Python allows mandatory and optional arguments, keyword arguments, and even arbitrary argument lists. Whether you're new to programming or an experienced developer, it's easy to learn and use Python. Python can be easy to pick up whether you're a first-time programmer or you're experienced with other languages. The following pages are a useful first step to get on your way to writing programs with Python! The community hosts conferences and meetups to collaborate on code, and much more. Python's documentation will help you along the way, and the mailing lists will keep you in touch. The Python Package Index (PyPI) hosts thousands of third-party modules for Python. Both Python's standard library and the community-contributed modules allow for endless possibilities.

About

Microservice-based streaming and batch data processing for Cloud Foundry and Kubernetes. Spring Cloud Data Flow provides tools to create complex topologies for streaming and batch data pipelines. The data pipelines consist of Spring Boot apps, built using the Spring Cloud Stream or Spring Cloud Task microservice frameworks. Spring Cloud Data Flow supports a range of data processing use cases, from ETL to import/export, event streaming, and predictive analytics. The Spring Cloud Data Flow server uses Spring Cloud Deployer, to deploy data pipelines made of Spring Cloud Stream or Spring Cloud Task applications onto modern platforms such as Cloud Foundry and Kubernetes. A selection of pre-built stream and task/batch starter apps for various data integration and processing scenarios facilitate learning and experimentation. Custom stream and task applications, targeting different middleware or data services, can be built using the familiar Spring Boot style programming model.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Developers searching for a software Package Manager solution that installs, updates, and removes packages on Fedora

Audience

Developers interested in a beautiful but advanced programming language

Audience

Companies and professionals seeking a solution to manage their streaming and batch data processing operations

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

DOCS
docs.fedoraproject.org/en-US/quick-docs/dnf/

Company Information

Python
Founded: 1991
www.python.org

Company Information

Spring
spring.io/projects/spring-cloud-dataflow

Alternatives

YUM

YUM

Red Hat

Alternatives

Alternatives

Spring Boot

Spring Boot

VMware Tanzu
Aptitude

Aptitude

Debian

Categories

Categories

Categories

Integrations

911Proxy
Apache NetBeans
Arm Forge
ChatKit
Defang
Firecrawl
GPT‑5-Codex
GitLab Duo
IDLE
OpenAI o1-mini
PDFreactor
Parasoft
Prolog
Qwen2
RankGPT
SwapCode AI
ZZZ Code AI
Zato
jEdit

Integrations

911Proxy
Apache NetBeans
Arm Forge
ChatKit
Defang
Firecrawl
GPT‑5-Codex
GitLab Duo
IDLE
OpenAI o1-mini
PDFreactor
Parasoft
Prolog
Qwen2
RankGPT
SwapCode AI
ZZZ Code AI
Zato
jEdit

Integrations

911Proxy
Apache NetBeans
Arm Forge
ChatKit
Defang
Firecrawl
GPT‑5-Codex
GitLab Duo
IDLE
OpenAI o1-mini
PDFreactor
Parasoft
Prolog
Qwen2
RankGPT
SwapCode AI
ZZZ Code AI
Zato
jEdit
Claim DNF and update features and information
Claim DNF and update features and information
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Claim Python and update features and information
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