say_what | Using speech-to-text to fully check out during con calls

 by   joshnewlan Python Version: Current License: No License

kandi X-RAY | say_what Summary

kandi X-RAY | say_what Summary

say_what is a Python library. say_what has no bugs and it has medium support. However say_what has 4 vulnerabilities and it build file is not available. You can download it from GitHub.

Using speech-to-text to fully check out during con calls

            kandi-support Support

              say_what has a medium active ecosystem.
              It has 2080 star(s) with 130 fork(s). There are 75 watchers for this library.
              It had no major release in the last 6 months.
              There are 2 open issues and 0 have been closed. On average issues are closed in 1245 days. There are 2 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of say_what is current.

            kandi-Quality Quality

              say_what has 0 bugs and 8 code smells.

            kandi-Security Security

              say_what has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              say_what code analysis shows 4 unresolved vulnerabilities (0 blocker, 4 critical, 0 major, 0 minor).
              There are 0 security hotspots that need review.

            kandi-License License

              say_what 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.

            kandi-Reuse Reuse

              say_what releases are not available. You will need to build from source code and install.
              say_what has no build file. You will be need to create the build yourself to build the component from source.
              say_what saves you 58 person hours of effort in developing the same functionality from scratch.
              It has 151 lines of code, 11 functions and 2 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed say_what and discovered the below as its top functions. This is intended to give you an instant insight into say_what implemented functionality, and help decide if they suit your requirements.
            • Translate audio to text .
            • Searches for the results of a splunk job .
            • Get the results of a job .
            • Send a message to a user .
            • Start a splunk search .
            • Create an event from the results .
            • Send an event to Splunk .
            • Start listening for audio .
            • Translate audio to Splunk .
            • Perform a splunk search .
            Get all kandi verified functions for this library.

            say_what Key Features

            No Key Features are available at this moment for say_what.

            say_what Examples and Code Snippets

            No Code Snippets are available at this moment for say_what.

            Community Discussions


            How to unit test decorator factory inputs in python
            Asked 2019-Jul-16 at 22:07

            I want to unit test multiple decorated functions' decorator factory inputs.

            I have tried mocking the decorator factory, but this did not help me associate the particular decorator factory call to a specific decorated function. Instead I just get a list of decorated factory calls in the order it is called in the file.



            Answered 2019-Jul-16 at 22:07

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


            No vulnerabilities reported

            Install say_what

            You can download it from GitHub.
            You can use say_what 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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          • CLI

            gh repo clone joshnewlan/say_what

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