somafm_charts | A scraper to collect and analyze the "Top 30" charts from SomaFM
kandi X-RAY | somafm_charts Summary
kandi X-RAY | somafm_charts Summary
somafm_charts is a Python library typically used in Telecommunications, Media, Media, Entertainment applications. somafm_charts has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However somafm_charts build file is not available. You can download it from GitHub.
This tool goes through each channel’s entire available chart history and currently creates a CSV for each channel. The end goal is to push this info to a database. The chart data is reshaped so each record contains the following fields: week, rank, artist, media, media_type, score_type, score, station, url. To get the full "Top 30" dataset the code has to run through roughly 10 years of weekly pages for each of the 35 channels. Multithreading helps speed things up, but it takes ~15 minutes on my machine.
This tool goes through each channel’s entire available chart history and currently creates a CSV for each channel. The end goal is to push this info to a database. The chart data is reshaped so each record contains the following fields: week, rank, artist, media, media_type, score_type, score, station, url. To get the full "Top 30" dataset the code has to run through roughly 10 years of weekly pages for each of the 35 channels. Multithreading helps speed things up, but it takes ~15 minutes on my machine.
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Quality
Security
License
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Support
somafm_charts has a low active ecosystem.
It has 11 star(s) with 2 fork(s). There are 2 watchers for this library.
It had no major release in the last 6 months.
There are 0 open issues and 1 have been closed. On average issues are closed in 8 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of somafm_charts is current.
Quality
somafm_charts has no bugs reported.
Security
somafm_charts has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
somafm_charts is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
somafm_charts releases are not available. You will need to build from source code and install.
somafm_charts has no build file. You will be need to create the build yourself to build the component from source.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of somafm_charts
somafm_charts Key Features
No Key Features are available at this moment for somafm_charts.
somafm_charts Examples and Code Snippets
No Code Snippets are available at this moment for somafm_charts.
Community Discussions
No Community Discussions are available at this moment for somafm_charts.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install somafm_charts
You can download it from GitHub.
You can use somafm_charts 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 somafm_charts 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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