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avencera/speakrs

Speaker diarization in Rust. 312–912x realtime on Apple Silicon, 50–121x on CUDA. Matches pyannote accuracy.

Rust ◇ audio Apache-2.0
★130STARS
⑂16FORKS
!1ISSUES
🏆#6,132GLOBAL RANK
🔥2DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for avencera/speakrs
CSV

Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#600

MOST-STARRED Rust

Window7 days30 days90 days
Stars gained+7+10+90
Per day111
Forks gained+1+3+10

speakrs gained 10 stars in the last 30 days, about 1 a day, and now has 130. It is about 1 year old and has averaged roughly 130 stars a year. It ranks #600 among Rust repositories and #6,132 across all languages on GitHubRepo.

Trending Record

speakrs has maintained a continuous presence across global trending indexes, peaking at #5115. Below is the 30-day activity profile:

💡 Overview

speakrs is an open-source project written in Rust: Speaker diarization in Rust. 312–912x realtime on Apple Silicon, 50–121x on CUDA. Matches pyannote accuracy.

Engineered for speed, consistency, and developer ease, it solves common hurdles in audio, coreml, diarization. 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 Rust 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
$ cargo install speakrs

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Rust toolchain (rustc / cargo >= 1.70)

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

speakrs coordinates its core functionality through a modular Rust 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 speakrs into Rust 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 speakrs using your package manager: `cargo install speakrs`

2

Initialize your project workspace or configuration file for speakrs.

3

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

4

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

👍 Strengths

Active community backing with 130 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 license.
Built in Rust 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 Rust 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.

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👥 Who Should Use This

Developers and engineering teams building with Rust, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

avencera/speakrs is currently ranked #6,132 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#6,115 fabiodalez-dev/FAZ-Cookie-Manager PHP ★ 131 Compare ↗
#6,115 pmady/keda-gpu-scaler Go ★ 131 Compare ↗
#6,115 ProducerGuy/ThermalForge Swift ★ 131 Compare ↗
#6,115 nathansutton/chad Python ★ 131 Compare ↗
#6,115 Agent-Field/CodeAF Go ★ 131 Compare ↗
#6,132 avencera/speakrs This Project Rust ★ 130
#6,132 pixel/hexedit C ★ 130 Compare ↗
#6,132 pillowfactory/csv-mapper Ruby ★ 130 Compare ↗
#6,132 brendano/tsvutils Python ★ 130 Compare ↗
#6,132 Timing-GmbH/DateRangePicker Swift ★ 130 Compare ↗
#6,132 atlarge-research/opendc Kotlin ★ 130 Compare ↗

Frequently Asked Questions

What does speakrs do? +

Speaker diarization in Rust. 312–912x realtime on Apple Silicon, 50–121x on CUDA. Matches pyannote accuracy.

What language is speakrs written in? +

The primary language is Rust. Topics include: audio, coreml, diarization, ml, onnx-runtime.

Is speakrs actively maintained? +

Yes, the last recorded push was on Sep 26, 2026 with 1 open issues being tracked.

How many stars does speakrs have? +

speakrs has 130 stars and 16 forks on GitHub.

How does speakrs rank among GitHub repositories? +

With 130 stars, avencera/speakrs is ranked #6,132 globally across all repositories tracked on GitHubRepo and #600 among Rust projects.

What license is speakrs distributed under? +

The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.

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