github-recommendation-engine | A github repository suggestion system | Awesome List library

 by   jaimevalero JavaScript Version: v2.0.0 License: Non-SPDX

kandi X-RAY | github-recommendation-engine Summary

kandi X-RAY | github-recommendation-engine Summary

github-recommendation-engine is a JavaScript library typically used in Awesome, Awesome List applications. github-recommendation-engine has no bugs, it has no vulnerabilities and it has low support. However github-recommendation-engine has a Non-SPDX License. You can download it from GitHub.

A github repository suggestion system
Support
    Quality
      Security
        License
          Reuse

            kandi-support Support

              github-recommendation-engine has a low active ecosystem.
              It has 81 star(s) with 25 fork(s). There are 14 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 2 open issues and 0 have been closed. There are 4 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of github-recommendation-engine is v2.0.0

            kandi-Quality Quality

              github-recommendation-engine has 0 bugs and 0 code smells.

            kandi-Security Security

              github-recommendation-engine has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              github-recommendation-engine code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              github-recommendation-engine has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              github-recommendation-engine releases are available to install and integrate.
              github-recommendation-engine saves you 524 person hours of effort in developing the same functionality from scratch.
              It has 1230 lines of code, 21 functions and 14 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
            Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of github-recommendation-engine
            Get all kandi verified functions for this library.

            github-recommendation-engine Key Features

            No Key Features are available at this moment for github-recommendation-engine.

            github-recommendation-engine Examples and Code Snippets

            No Code Snippets are available at this moment for github-recommendation-engine.

            Community Discussions

            QUESTION

            Is ESLint a Vim plugin?
            Asked 2022-Feb-12 at 01:35

            Vim Awesome lists ESLint as a plugin: https://vimawesome.com/plugin/eslint. However, also on that page it says "...your plugins (and ESLint) are ..." implying ESLint is not a Vim plugin.

            I am trying to work out how to apply ESLint to JavaScript files I am writing in Vim. I would like to do so (at least initially) without any plugins. I think it might help me to achieve this if I knew whether or not ESLint is a Vim plugin or not.

            ...

            ANSWER

            Answered 2022-Feb-12 at 01:35

            No. It is a general linter for javascript. See https://eslint.org/

            If you want to use ESLint in Vim, you can use a vim plugin (such as ALE or the eslint vim plugin) to help you. Or you can use the command line interface eslint offers if you don't want to use plugins.

            Source https://stackoverflow.com/questions/71087803

            QUESTION

            R Extending each list level by new elements
            Asked 2021-Apr-12 at 14:41

            I'm looking for a way to automatically add new list elements/levels to an existing list:

            • my real-life use case has several thousand elements to add, so the manual example below for adding two elements is not feasible anymore,
            • I need a list because that's the format expected by an API I'm trying to access.

            Example:

            ...

            ANSWER

            Answered 2021-Apr-12 at 14:41

            Iterate over names using map or using the same arguments replace map with lapply in which case no packages are needed.

            Source https://stackoverflow.com/questions/67060194

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

            Vulnerabilities

            No vulnerabilities reported

            Install github-recommendation-engine

            You can download it from GitHub.

            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 .
            Find more information at:

            Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items

            Find more libraries
            CLONE
          • HTTPS

            https://github.com/jaimevalero/github-recommendation-engine.git

          • CLI

            gh repo clone jaimevalero/github-recommendation-engine

          • sshUrl

            git@github.com:jaimevalero/github-recommendation-engine.git

          • Stay Updated

            Subscribe to our newsletter for trending solutions and developer bootcamps

            Agree to Sign up and Terms & Conditions

            Share this Page

            share link

            Explore Related Topics

            Reuse Pre-built Kits with github-recommendation-engine

            Consider Popular Awesome List Libraries

            awesome

            by sindresorhus

            awesome-go

            by avelino

            awesome-rust

            by rust-unofficial

            Try Top Libraries by jaimevalero

            itop-utilities

            by jaimevaleroShell

            push-kaggle-dataset

            by jaimevaleroPython

            managing-awesome-lists

            by jaimevaleroHTML

            pandas_diff

            by jaimevaleroPython

            learning-machine-learning

            by jaimevaleroPython