music-assistant-models
Music Assistant Base Models
Decision gist · record as of 2026-08-14
Yes, if you are working within the Music Assistant ecosystem. The package is actively maintained, has low install friction, carries a permissive license, and has no known vulnerabilities. Install it only if you are building Music Assistant clients, plugins, or integrations; it is not a standalone tool for general music streaming use.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.11 or later; earlier versions are not supported.
- Active maintenance with a release 1 day old.
- Low install friction—pure Python wheel with only three lightweight runtime dependencies (orjson, mashumaro, unidecode).
License · maintenance · safety
Apache-2.0 (permissive) — Licensed under Apache-2.0 (permissive), allowing free use, modification, and distribution with minimal restrictions—suitable for both open-source and commercial projects.
last release 2026-08-13 (1 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 255,950 downloads/mo, #8,469 on PyPI
Alternatives
Verify before relying
pip install music-assistant-models
from music_assistant_models import SomeModel # Import a model class
model_instance = SomeModel() # Instantiate and use- What specific model classes and data structures are exported and what they represent in the Music Assistant ecosystem.
- Whether this package is intended for end-user applications or primarily for Music Assistant internal/plugin development.
- Performance characteristics or serialization benchmarks compared to alternative approaches.
What it is and what it does
Music Assistant Models is a Python package that defines the shared data structures used by Music Assistant, a music streaming platform. It serves as a bridge between client and server components, ensuring consistent data representation across the system. The package relies on orjson for fast JSON serialization, mashumaro for efficient data marshalling, and unidecode for text normalization—all lightweight, focused dependencies that keep installation friction minimal.
This is a foundational library rather than a user-facing application. If you are building a Music Assistant client, integrating with a Music Assistant server, or developing plugins for the ecosystem, you will need these models to work with the platform's data types. The package is actively maintained (released 1 day ago) and supports current Python versions (3.11, 3.12, 3.13), making it a stable choice for integration work.
Use it for
- Building a custom Music Assistant client that needs to deserialize and work with server responses.
- Developing Music Assistant plugins or extensions that exchange data with the core platform.
- Creating integrations between Music Assistant and other music services using shared model definitions.
- Testing Music Assistant server or client code that depends on consistent model schemas.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are working within the Music Assistant ecosystem.
The package is actively maintained, has low install friction, carries a permissive license, and has no known vulnerabilities. Install it only if you are building Music Assistant clients, plugins, or integrations; it is not a standalone tool for general music streaming use.
Install
music-assistant-models on PyPI
Before you install
Active maintenance with a release 1 day old. Low install friction—pure Python wheel with only three lightweight runtime dependencies (orjson, mashumaro, unidecode). Requires Python 3.11 or later.
Requires Python 3.11 or later; earlier versions are not supported.
License in practice
Licensed under Apache-2.0 (permissive), allowing free use, modification, and distribution with minimal restrictions—suitable for both open-source and commercial projects.
Quickstart
pip install music-assistant-models
from music_assistant_models import SomeModel # Import a model class
model_instance = SomeModel() # Instantiate and useVerify before relying
- What specific model classes and data structures are exported and what they represent in the Music Assistant ecosystem.
- Whether this package is intended for end-user applications or primarily for Music Assistant internal/plugin development.
- Performance characteristics or serialization benchmarks compared to alternative approaches.
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release >=3.11 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 3 packagesorjsonmashumarounidecode |
| Maintenance | Actively maintained 1 days since the last release |
| First released | |
| Downloads | 255,950 / month, #8,469 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Environment :: ConsoleProgramming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13 |
Evidence: music_assistant_models-1.1.188-py3-none-any.whl
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See also music-assistant-client · music-assistant-frontend · symusic · ytmusicapi · snac · music21 · librosa · mlx-audio · amundsen-common · laion-clap