cuda_intext_bookmarks | CudaText plugin to place bookmarks as text-comments

 by   kvichans Python Version: v0.8 License: No License

kandi X-RAY | cuda_intext_bookmarks Summary

kandi X-RAY | cuda_intext_bookmarks Summary

cuda_intext_bookmarks is a Python library. cuda_intext_bookmarks has no bugs, it has no vulnerabilities and it has low support. However cuda_intext_bookmarks build file is not available. You can download it from GitHub.

CudaText plugin to place bookmarks as text-comments
Support
    Quality
      Security
        License
          Reuse

            kandi-support Support

              cuda_intext_bookmarks has a low active ecosystem.
              It has 3 star(s) with 1 fork(s). There are 5 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 0 open issues and 7 have been closed. On average issues are closed in 414 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of cuda_intext_bookmarks is v0.8

            kandi-Quality Quality

              cuda_intext_bookmarks has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              cuda_intext_bookmarks does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              cuda_intext_bookmarks releases are available to install and integrate.
              cuda_intext_bookmarks has no build file. You will be need to create the build yourself to build the component from source.
              It has 488 lines of code, 24 functions and 3 files.
              It has high 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 cuda_intext_bookmarks
            Get all kandi verified functions for this library.

            cuda_intext_bookmarks Key Features

            No Key Features are available at this moment for cuda_intext_bookmarks.

            cuda_intext_bookmarks Examples and Code Snippets

            No Code Snippets are available at this moment for cuda_intext_bookmarks.

            Community Discussions

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

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

            Vulnerabilities

            No vulnerabilities reported

            Install cuda_intext_bookmarks

            You can download it from GitHub.
            You can use cuda_intext_bookmarks like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            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/kvichans/cuda_intext_bookmarks.git

          • CLI

            gh repo clone kvichans/cuda_intext_bookmarks

          • sshUrl

            git@github.com:kvichans/cuda_intext_bookmarks.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