Kudos-Algorithms | Algorithms Design and Analysis in Java

by ethen8181 Java Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | Kudos-Algorithms Summary

Kudos-Algorithms is a Java library. Kudos-Algorithms has no bugs, it has no vulnerabilities and it has low support. However Kudos-Algorithms build file is not available. You can download it from GitHub.

Algorithms Design and Analysis in Java

Support

Quality

Security

License

Reuse

Support

Kudos-Algorithms has a low active ecosystem.

It has 0 star(s) with 1 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

Kudos-Algorithms has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Kudos-Algorithms is current.

Quality

Kudos-Algorithms has no bugs reported.

Security

Kudos-Algorithms has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

Kudos-Algorithms does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

Kudos-Algorithms releases are not available. You will need to build from source code and install.

Kudos-Algorithms has no build file. You will be need to create the build yourself to build the component from source.

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Kudos-Algorithms Key Features

No Key Features are available at this moment for Kudos-Algorithms.

Kudos-Algorithms Examples and Code Snippets

No Code Snippets are available at this moment for Kudos-Algorithms.

Community Discussions

No Community Discussions are available at this moment for Kudos-Algorithms.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install Kudos-Algorithms

You can download it from GitHub.
You can use Kudos-Algorithms like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the Kudos-Algorithms component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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