device-cloud-python | Wind River Helix Device Cloud Python Agent

 by   deviceWISE Python Version: 18.06.19 License: Apache-2.0

kandi X-RAY | device-cloud-python Summary

kandi X-RAY | device-cloud-python Summary

device-cloud-python is a Python library typically used in Telecommunications, Media, Media, Entertainment applications. device-cloud-python has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Wind River Helix Device Cloud Python Agent.

            kandi-support Support

              device-cloud-python has a low active ecosystem.
              It has 12 star(s) with 13 fork(s). There are 32 watchers for this library.
              It had no major release in the last 12 months.
              There are 6 open issues and 118 have been closed. On average issues are closed in 4 days. There are 4 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of device-cloud-python is 18.06.19

            kandi-Quality Quality

              device-cloud-python has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              device-cloud-python is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              device-cloud-python releases are available to install and integrate.
              Build file is available. You can build the component from source.
              Installation instructions are not available. Examples and code snippets are available.
              device-cloud-python saves you 3352 person hours of effort in developing the same functionality from scratch.
              It has 7191 lines of code, 422 functions and 28 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed device-cloud-python and discovered the below as its top functions. This is intended to give you an instant insight into device-cloud-python implemented functionality, and help decide if they suit your requirements.
            • Updates the software .
            • The main function .
            • Generate connection config file .
            • Handle a received message .
            • Initialize the configuration .
            • Upload a file .
            • Handle incoming messages from local socket
            • take a snapshot
            • Handle file download .
            • provide remote access
            Get all kandi verified functions for this library.

            device-cloud-python Key Features

            No Key Features are available at this moment for device-cloud-python.

            device-cloud-python Examples and Code Snippets

            No Code Snippets are available at this moment for device-cloud-python.

            Community Discussions

            No Community Discussions are available at this moment for device-cloud-python.Refer to stack overflow page for discussions.

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


            No vulnerabilities reported

            Install device-cloud-python

            You can download it from GitHub.
            You can use device-cloud-python 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.


            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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