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FluidInference
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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.

Swift ◇ ane Apache-2.0
★3.3KSTARS
⑂507FORKS
!3ISSUES
🏆#4,046GLOBAL RANK
🔥43DAYS TRENDING
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⚡ Executive Summary & Quick Facts

Authoritative Source

FluidAudio is 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. ..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), FluidInference/FluidAudio has accumulated 3,287 GitHub stars and 507 forks. It is written in Swift, licensed under Apache-2.0, and ranks #4,046 globally. It is actively maintained with the latest commit recorded on Nov 11, 2026.”
Repository FluidInference/FluidAudio ↗
Primary Category ane
Language & Stack Swift
Software License Apache-2.0
Community Traction ★ 3.3K stars · ⑂ 507 forks · #4,046 globally
Maintenance ● Active (Last commit: Nov 11, 2026) · 3 open issues
Target Audience Developers and engineering teams building with Swift, seeking reliable, tested, and actively maintained tooling for production workloads.

🛡️ Repository Maintenance & Health Audit (2026)

Health Score: 97/100 · Grade A+
✅
Is FluidAudio actively maintained in 2026?
Verdict: Actively Maintained & Highly Recommended

Yes, FluidAudio is actively maintained. Continuous telemetry recorded the last code commit on Nov 11, 2026 (1 days ago). Supported by 3,287 stars and 507 community forks, this repository holds a calculated health index of 97/100, reflecting very active (commits within last 14 days) and healthy issue cadence.

Commit Recency
Nov 11, 2026
1 days since last push
Issue Backlog
3 Open Issues
Healthy Issue Cadence
Community Backing
507 Forks
3.3K Stars Recorded
Software License
Apache-2.0
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for FluidInference/FluidAudio
CSV
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Momentum

+232

STARS · LAST 30 DAYS

8

PER DAY

#135

MOST-STARRED Swift

Window7 days30 days90 days
Stars gained+30+232+720
Per day488
Forks gained+5+38+25

FluidAudio gained 232 stars in the last 30 days, about 8 a day, and now has 3.3K. It is about 1 year old and has averaged roughly 3.3K stars a year. It ranks #135 among Swift repositories and #4,046 across all languages on GitHubRepo.

Trending Record

FluidAudio has maintained a continuous presence across global trending indexes, peaking at #454. 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

1

Optimized execution pipeline written in Swift for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ 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

1

Install FluidAudio using your package manager: `git clone https://github.com/FluidInference/FluidAudio.git`

2

Initialize your project workspace or configuration file for FluidAudio.

3

Import FluidAudio into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `FluidAudio --help` to verify successful setup.

👍 Strengths

Active community backing with 2,902 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 license.
Built in Swift for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Swift and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

⇄ Alternatives & Direct Competitors

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👥 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 #4,046 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#4,040 OvenMediaLabs/OvenMediaEngine C++ ★ 3.3K Compare ↗
#4,040 andreknieriem/open-headunit Kotlin ★ 3.3K Compare ↗
#4,043 cyu/rack-cors JavaScript ★ 3.3K Compare ↗
#4,043 aandrew-me/tgpt Go ★ 3.3K Compare ↗
#4,045 MacRimi/ProxMenux Python ★ 3.3K Compare ↗
#4,046 FluidInference/FluidAudio This Project Swift ★ 3.3K
#4,046 vifm/vifm C ★ 3.3K Compare ↗
#4,046 Automattic/juice JavaScript ★ 3.3K Compare ↗
#4,049 qdrant/fastembed Python ★ 3.3K 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.

Is FluidAudio actively maintained in 2026? +

Yes, FluidAudio is actively maintained. The latest code push was recorded on Nov 11, 2026 (1 days ago). It holds a calculated Maintenance Health Score of 97/100 (A+ rating) with 3,287 stars and 3 open issues.

What language is FluidAudio written in? +

The primary language is Swift. Topics include: ane, asr, audio, automatic-speech-recognition, avfoundation.

How many stars does FluidAudio have? +

FluidAudio has 3,287 stars and 507 forks on GitHub.

How does FluidAudio rank among GitHub repositories? +

With 3,287 stars, FluidInference/FluidAudio is ranked #4,046 globally across all repositories tracked on GitHubRepo and #135 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.

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