Auto-Spotify-playlist-via-Twitter-mentions | basic script that allows you to add spotify tracks
kandi X-RAY | Auto-Spotify-playlist-via-Twitter-mentions Summary
kandi X-RAY | Auto-Spotify-playlist-via-Twitter-mentions Summary
Auto-Spotify-playlist-via-Twitter-mentions is a Python library. Auto-Spotify-playlist-via-Twitter-mentions has no bugs, it has no vulnerabilities and it has low support. However Auto-Spotify-playlist-via-Twitter-mentions build file is not available. You can download it from GitHub.
This is a basic script that allows you to add spotify tracks to your playlist based on twitter mentions.
This is a basic script that allows you to add spotify tracks to your playlist based on twitter mentions.
Support
Quality
Security
License
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Support
Auto-Spotify-playlist-via-Twitter-mentions has a low active ecosystem.
It has 2 star(s) with 0 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
Auto-Spotify-playlist-via-Twitter-mentions has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of Auto-Spotify-playlist-via-Twitter-mentions is current.
Quality
Auto-Spotify-playlist-via-Twitter-mentions has no bugs reported.
Security
Auto-Spotify-playlist-via-Twitter-mentions has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
Auto-Spotify-playlist-via-Twitter-mentions 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.
Reuse
Auto-Spotify-playlist-via-Twitter-mentions releases are not available. You will need to build from source code and install.
Auto-Spotify-playlist-via-Twitter-mentions has no build file. You will be need to create the build yourself to build the component from source.
Top functions reviewed by kandi - BETA
kandi has reviewed Auto-Spotify-playlist-via-Twitter-mentions and discovered the below as its top functions. This is intended to give you an instant insight into Auto-Spotify-playlist-via-Twitter-mentions implemented functionality, and help decide if they suit your requirements.
- Get all tweets in the timeline .
- Add a song to Spotify playlist .
- Get the URI from a Tweet .
- Check if a user is friends
- Retrieve the last seen ID from a file .
- Store the last seen ID in a file .
Get all kandi verified functions for this library.
Auto-Spotify-playlist-via-Twitter-mentions Key Features
No Key Features are available at this moment for Auto-Spotify-playlist-via-Twitter-mentions.
Auto-Spotify-playlist-via-Twitter-mentions Examples and Code Snippets
No Code Snippets are available at this moment for Auto-Spotify-playlist-via-Twitter-mentions.
Community Discussions
No Community Discussions are available at this moment for Auto-Spotify-playlist-via-Twitter-mentions.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install Auto-Spotify-playlist-via-Twitter-mentions
You can download it from GitHub.
You can use Auto-Spotify-playlist-via-Twitter-mentions 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 Auto-Spotify-playlist-via-Twitter-mentions 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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