A text-to-speech (TTS), speech-to-text (STT) and speech-to-speech (STS) library built on Apple's MLX framework, providing efficient speech analysis on Apple Silicon.
⚡ Executive Summary & Quick Facts
Authoritative Sourcemlx-audio is mlx-audio is an open-source project written in Python: A text-to-speech (TTS), speech-to-text (STT) and speech-to-speech (STS) library built on Apple's MLX framework, providing efficient speech analysis on Apple Silicon..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), Blaizzy/mlx-audio has accumulated 8,184 GitHub stars and 782 forks. It is written in Python, licensed under MIT, and ranks #1,849 globally. It is actively maintained with the latest commit recorded on Nov 2, 2026.”
| Repository | Blaizzy/mlx-audio ↗ |
|---|---|
| Primary Category | apple silicon |
| Language & Stack | Python |
| Software License | MIT |
| Community Traction | ★ 8.2K stars · ⑂ 782 forks · #1,849 globally |
| Maintenance | ● Active (Last commit: Nov 2, 2026) · 101 open issues |
| Target Audience | Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads. |
🛡️ Repository Maintenance & Health Audit (2026)
Health Score: 97/100 · Grade A+Yes, mlx-audio is actively maintained. Continuous telemetry recorded the last code commit on Nov 2, 2026 (1 days ago). Supported by 8,184 stars and 782 community forks, this repository holds a calculated health index of 97/100, reflecting very active (commits within last 14 days) and healthy issue cadence.
Star History
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+205
STARS · LAST 30 DAYS
7
PER DAY
#304
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +49 | +205 | +630 |
| Per day | 7 | 7 | 7 |
| Forks gained | +4 | +16 | +39 |
mlx-audio gained 205 stars in the last 30 days, about 7 a day, and now has 8.2K. It is about 2 years old and has averaged roughly 4.1K stars a year. It ranks #304 among Python repositories and #1,849 across all languages on GitHubRepo.
Trending Record
2
DAYS ON TRENDING
#7660
BEST RANK
Nov 2, 2026
FIRST APPEARANCE
Active
STATUS TODAY
mlx-audio has maintained a continuous presence across global trending indexes, peaking at #7660. Below is the 30-day activity profile:
💡 Overview
mlx-audio is an open-source project written in Python: A text-to-speech (TTS), speech-to-text (STT) and speech-to-speech (STS) library built on Apple's MLX framework, providing efficient speech analysis on Apple Silicon.
Engineered for speed, consistency, and developer ease, it solves common hurdles in apple-silicon, audio-processing, mlx. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ pip install mlx-audio⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
mlx-audio coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.
🎯 Production Use Cases
Production System Integration
Embed mlx-audio into Python backend services to handle core application logic.
CI/CD Automated Pipelines
Run automated validation, builds, and integration suites during deployments.
Developer Tooling & Workflows
Accelerate developer onboarding with pre-configured project utilities.
Open Source Extension
Fork and customize internal modules under the repository's open MIT license.
🚀 Getting Started
Install mlx-audio using your package manager: `pip install mlx-audio`
Initialize your project workspace or configuration file for mlx-audio.
Import mlx-audio into your codebase or invoke it directly from your terminal.
Execute your test suite or run `mlx-audio --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
Blaizzy/mlx-audio is currently ranked #1,849 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
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|---|---|---|---|---|
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| #1,849 | Blaizzy/mlx-audio This Project | Python | ★ 8.2K | |
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Frequently Asked Questions
What does mlx-audio do? +
A text-to-speech (TTS), speech-to-text (STT) and speech-to-speech (STS) library built on Apple's MLX framework, providing efficient speech analysis on Apple Silicon.
Is mlx-audio actively maintained in 2026? +
Yes, mlx-audio is actively maintained. The latest code push was recorded on Nov 2, 2026 (1 days ago). It holds a calculated Maintenance Health Score of 97/100 (A+ rating) with 8,184 stars and 101 open issues.
What language is mlx-audio written in? +
The primary language is Python. Topics include: apple-silicon, audio-processing, mlx, multimodal, speech-recognition.
How many stars does mlx-audio have? +
mlx-audio has 8,184 stars and 782 forks on GitHub.
How does mlx-audio rank among GitHub repositories? +
With 8,184 stars, Blaizzy/mlx-audio is ranked #1,849 globally across all repositories tracked on GitHubRepo and #304 among Python projects.
What license is mlx-audio distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
