nnpy | cffi-based Python bindings for nanomsg

 by   nanomsg Python Version: 1.4.2 License: MIT

kandi X-RAY | nnpy Summary

kandi X-RAY | nnpy Summary

nnpy is a Python library. nnpy has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install nnpy' or download it from GitHub, PyPI.

cffi-based Python bindings for nanomsg
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            kandi-support Support

              nnpy has a low active ecosystem.
              It has 118 star(s) with 32 fork(s). There are 12 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 10 open issues and 24 have been closed. On average issues are closed in 31 days. There are 2 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of nnpy is 1.4.2

            kandi-Quality Quality

              nnpy has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              nnpy is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              nnpy releases are not available. You will need to build from source code and install.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              nnpy saves you 91 person hours of effort in developing the same functionality from scratch.
              It has 232 lines of code, 21 functions and 6 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed nnpy and discovered the below as its top functions. This is intended to give you an instant insight into nnpy implemented functionality, and help decide if they suit your requirements.
            • Create the module
            • Extract function definitions from file
            • Return a string representation of a host library
            • Return a dict of header files
            Get all kandi verified functions for this library.

            nnpy Key Features

            No Key Features are available at this moment for nnpy.

            nnpy Examples and Code Snippets

            No Code Snippets are available at this moment for nnpy.

            Community Discussions

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

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

            Vulnerabilities

            No vulnerabilities reported

            Install nnpy

            You can install using 'pip install nnpy' or download it from GitHub, PyPI.
            You can use nnpy 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 .
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            Install
          • PyPI

            pip install nnpy

          • CLONE
          • HTTPS

            https://github.com/nanomsg/nnpy.git

          • CLI

            gh repo clone nanomsg/nnpy

          • sshUrl

            git@github.com:nanomsg/nnpy.git

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