FluidInference/FluidAudio
Frontier CoreML audio models in your apps — text-to-speech, speech-to-text, voice activity detection, and speaker diarization. In Swift, powered by SOTA open source.
Star History
Momentum
+73
STARS · LAST 30 DAYS
2
PER DAY
#79
MOST-STARRED Swift
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +14 | +73 | +180 |
| Per day | 2 | 2 | 2 |
| Forks gained | +2 | +9 | +22 |
FluidAudio gained 73 stars in the last 30 days, about 2 a day, and now has 2.9K. It is about 1 year old and has averaged roughly 2.9K stars a year. It ranks #79 among Swift repositories and #1,619 across all languages on GitHubRepo.
Trending Record
4
DAYS ON TRENDING
#1533
BEST RANK
Sep 26, 2026
FIRST APPEARANCE
Active
STATUS TODAY
FluidAudio has maintained a continuous presence across global trending indexes, peaking at #1533. Below is the 30-day activity profile:
💡 Overview
FluidAudio is an open-source project written in Swift: Frontier CoreML audio models in your apps — text-to-speech, speech-to-text, voice activity detection, and speaker diarization. In Swift, powered by SOTA open source. .
Engineered for speed, consistency, and developer ease, it solves common hurdles in ane, asr, audio. 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 Swift 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
$ git clone https://github.com/FluidInference/FluidAudio.git
cd FluidAudio⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Swift 5.9+ / Xcode 15+ (macOS/Linux)
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
FluidAudio coordinates its core functionality through a modular Swift 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 FluidAudio into Swift 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 Apache-2.0 license.
🚀 Getting Started
Install FluidAudio using your package manager: `git clone https://github.com/FluidInference/FluidAudio.git`
Initialize your project workspace or configuration file for FluidAudio.
Import FluidAudio into your codebase or invoke it directly from your terminal.
Execute your test suite or run `FluidAudio --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Swift, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
FluidInference/FluidAudio is currently ranked #1,619 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #1,614 | holepunchto/hypercore | JavaScript | ★ 2.9K | Compare ↗ |
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| #1,617 | hmlongco/Factory | Swift | ★ 2.9K | Compare ↗ |
| #1,618 | bitfireAT/davx5-ose | Kotlin | ★ 2.9K | Compare ↗ |
| #1,619 | FluidInference/FluidAudio This Project | Swift | ★ 2.9K | |
| #1,620 | googleapis/google-api-ruby-client | Ruby | ★ 2.9K | Compare ↗ |
| #1,621 | kylecorry31/Trail-Sense | Kotlin | ★ 2.9K | Compare ↗ |
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Frequently Asked Questions
What does FluidAudio do? +
Frontier CoreML audio models in your apps — text-to-speech, speech-to-text, voice activity detection, and speaker diarization. In Swift, powered by SOTA open source.
What language is FluidAudio written in? +
The primary language is Swift. Topics include: ane, asr, audio, automatic-speech-recognition, avfoundation.
Is FluidAudio actively maintained? +
Yes, the last recorded push was on Sep 26, 2026 with 15 open issues being tracked.
How many stars does FluidAudio have? +
FluidAudio has 2,902 stars and 433 forks on GitHub.
How does FluidAudio rank among GitHub repositories? +
With 2,902 stars, FluidInference/FluidAudio is ranked #1,619 globally across all repositories tracked on GitHubRepo and #79 among Swift projects.
What license is FluidAudio distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
