serato-tags | Serato DJ Pro GEOB tags documentation
kandi X-RAY | serato-tags Summary
kandi X-RAY | serato-tags Summary
serato-tags is a Python library. serato-tags has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However serato-tags build file is not available. You can download it from GitHub.
This repository aims to document the GEOB ID3 tags that the Serato DJ software uses to store its metadata. You can also have a look at this lengthy blog post that goes into detail how I reversed the contents of the Serato Markers2 GEOB tag. The different file/tag formats that Serato uses to store the information are documented in docs/fileformats.md, a script to dump the tag data can be found at scripts/tagdump.py.
This repository aims to document the GEOB ID3 tags that the Serato DJ software uses to store its metadata. You can also have a look at this lengthy blog post that goes into detail how I reversed the contents of the Serato Markers2 GEOB tag. The different file/tag formats that Serato uses to store the information are documented in docs/fileformats.md, a script to dump the tag data can be found at scripts/tagdump.py.
Support
Quality
Security
License
Reuse
Support
serato-tags has a low active ecosystem.
It has 20 star(s) with 5 fork(s). There are 7 watchers for this library.
It had no major release in the last 6 months.
There are 3 open issues and 3 have been closed. On average issues are closed in 62 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of serato-tags is current.
Quality
serato-tags has 0 bugs and 0 code smells.
Security
serato-tags has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
serato-tags code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
serato-tags 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
serato-tags releases are not available. You will need to build from source code and install.
serato-tags 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 serato-tags and discovered the below as its top functions. This is intended to give you an instant insight into serato-tags implemented functionality, and help decide if they suit your requirements.
- Parse the header
- Deserialize from a string
- Returns the entry type of the given name
- Decode a serato32 field
- Read bytes from fp
- Dump the message to a byte string
- Encode data as a byte string
- Get serato tag data
- Dump the contents of the given list of entries
- Ask the user for a given question
- Draw a waveform
- Returns the type of an entry
Get all kandi verified functions for this library.
serato-tags Key Features
No Key Features are available at this moment for serato-tags.
serato-tags Examples and Code Snippets
No Code Snippets are available at this moment for serato-tags.
Community Discussions
No Community Discussions are available at this moment for serato-tags.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install serato-tags
You can download it from GitHub.
You can use serato-tags 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 serato-tags 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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