soapy_power | Obtain power spectrum from SoapySDR devices | Navigation library
kandi X-RAY | soapy_power Summary
kandi X-RAY | soapy_power Summary
soapy_power is a Python library typically used in User Interface, Navigation applications. soapy_power 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 soapy_power' or download it from GitHub, PyPI.
Obtain power spectrum from SoapySDR devices (RTL-SDR, Airspy, SDRplay, HackRF, bladeRF, USRP, LimeSDR, etc.)
Obtain power spectrum from SoapySDR devices (RTL-SDR, Airspy, SDRplay, HackRF, bladeRF, USRP, LimeSDR, etc.)
Support
Quality
Security
License
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Support
soapy_power has a low active ecosystem.
It has 132 star(s) with 31 fork(s). There are 14 watchers for this library.
It had no major release in the last 12 months.
There are 17 open issues and 6 have been closed. On average issues are closed in 29 days. There are 8 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of soapy_power is 1.6.1
Quality
soapy_power has 0 bugs and 7 code smells.
Security
soapy_power has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
soapy_power code analysis shows 0 unresolved vulnerabilities.
There are 1 security hotspots that need review.
License
soapy_power is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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soapy_power releases are available to install and integrate.
Deployable package is available in PyPI.
Build file is available. You can build the component from source.
soapy_power saves you 331 person hours of effort in developing the same functionality from scratch.
It has 795 lines of code, 52 functions and 8 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed soapy_power and discovered the below as its top functions. This is intended to give you an instant insight into soapy_power implemented functionality, and help decide if they suit your requirements.
- This function sklearnes the wavefunction
- Tells the stream
- Generate a frequency plan for a given interval
- Submit a function to the work queue
- Write the next line
- Write data to the output
- Return information about a device
- Wrap text into a single line
- Perform a frequency plan
- Return the number of nearest bins
- Read the header and pwr_array
- Detect and return list of devices
- Calculate the nearest overlap between overlapping FFT bins
- Wait for the future to finish
- Setup the argument parser
Get all kandi verified functions for this library.
soapy_power Key Features
No Key Features are available at this moment for soapy_power.
soapy_power Examples and Code Snippets
No Code Snippets are available at this moment for soapy_power.
Community Discussions
Trending Discussions on soapy_power
QUESTION
How to generate random even number as parameter of function in bash one line command?
Asked 2022-Mar-19 at 02:39
I need to set random even number as function parameter in terminal:
soapy_power -b random_even_number
First step, I generate random number with shuf -i1-10 -n1
Next,I try to judge whether random number is even,if not +1 to this number.
What I tried and failed:
$(((shuf -i1-10 -n1) %2 -eq 0 OR (shuf -i1-10 -n1)+1))
How to generate random even number as parameter of function in bash one line command?
...ANSWER
Answered 2022-Mar-19 at 02:39Try
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install soapy_power
You can install using 'pip install soapy_power' or download it from GitHub, PyPI.
You can use soapy_power 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.
You can use soapy_power 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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