NBS-API-Python | # Python Wrapper for the Next Big Sound API
kandi X-RAY | NBS-API-Python Summary
kandi X-RAY | NBS-API-Python Summary
NBS-API-Python is a Python library. NBS-API-Python has no bugs, it has no vulnerabilities and it has low support. However NBS-API-Python build file is not available. You can download it from GitHub.
#Python Wrapper for the Next Big Sound API 10/27/2011.
#Python Wrapper for the Next Big Sound API 10/27/2011.
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Quality
Security
License
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Support
NBS-API-Python has a low active ecosystem.
It has 14 star(s) with 3 fork(s). There are 3 watchers for this library.
It had no major release in the last 6 months.
NBS-API-Python has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of NBS-API-Python is current.
Quality
NBS-API-Python has 0 bugs and 0 code smells.
Security
NBS-API-Python has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
NBS-API-Python code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
NBS-API-Python 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.
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NBS-API-Python releases are not available. You will need to build from source code and install.
NBS-API-Python has no build file. You will be need to create the build yourself to build the component from source.
Installation instructions are not available. Examples and code snippets are available.
NBS-API-Python saves you 183 person hours of effort in developing the same functionality from scratch.
It has 453 lines of code, 75 functions and 14 files.
It has medium code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed NBS-API-Python and discovered the below as its top functions. This is intended to give you an instant insight into NBS-API-Python implemented functionality, and help decide if they suit your requirements.
- Get artist
- Make a POST request
- Generate URL for this resource
- Make a GET request
- Retrieve a artist by ID
- Get an instance of Genres instance
- Return list of available genres
- Return a user s artist
- Get the Profiles object
- Return a list of all configured profiles
- Get a profile
- Get the Metrics instance
- Returns a dictionary containing the metrics
- Get artist view
- Get an instance of artists
- Return a list of artist objects
- Add a list of profiles to the artist
- Add new profiles
- Search artist
- Search by url
- List available services
- List of available services
- Return the rank of the artist
- Get a specific artist
- Get artist by id
- Search for a given URL
Get all kandi verified functions for this library.
NBS-API-Python Key Features
No Key Features are available at this moment for NBS-API-Python.
NBS-API-Python Examples and Code Snippets
No Code Snippets are available at this moment for NBS-API-Python.
Community Discussions
No Community Discussions are available at this moment for NBS-API-Python.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install NBS-API-Python
You can download it from GitHub.
You can use NBS-API-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.
You can use NBS-API-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.
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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