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avencera/speakrs

Speaker diarization in Rust with pyannote-level accuracy. 1790–5970x realtime on NVIDIA GPUs, 430–910x on Apple Silicon.

Rust ◇ audio Apache-2.0
★175STARS
⑂26FORKS
!1ISSUES
🏆#20,497GLOBAL RANK
🔥41DAYS TRENDING
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⚡ Executive Summary & Quick Facts

Authoritative Source

speakrs is 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..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), avencera/speakrs has accumulated 175 GitHub stars and 26 forks. It is written in Rust, licensed under Apache-2.0, and ranks #20,497 globally. It is actively maintained with the latest commit recorded on Oct 31, 2026.”
Repository avencera/speakrs ↗
Primary Category audio
Language & Stack Rust
Software License Apache-2.0
Community Traction ★ 175 stars · ⑂ 26 forks · #20,497 globally
Maintenance ● Active (Last commit: Oct 31, 2026) · 1 open issues
Target Audience Developers and engineering teams building with Rust, seeking reliable, tested, and actively maintained tooling for production workloads.

🛡️ Repository Maintenance & Health Audit (2026)

Health Score: 93/100 · Grade A+
✅
Is speakrs actively maintained in 2026?
Verdict: Actively Maintained & Highly Recommended

Yes, speakrs is actively maintained. Continuous telemetry recorded the last code commit on Oct 31, 2026 (13 days ago). Supported by 175 stars and 26 community forks, this repository holds a calculated health index of 93/100, reflecting very active (commits within last 14 days) and healthy issue cadence.

Commit Recency
Oct 31, 2026
13 days since last push
Issue Backlog
1 Open Issues
Healthy Issue Cadence
Community Backing
26 Forks
175 Stars Recorded
Software License
Apache-2.0
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for avencera/speakrs
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Momentum

+41

STARS · LAST 30 DAYS

1

PER DAY

#1,938

MOST-STARRED Rust

Window7 days30 days90 days
Stars gained+0+41+90
Per day111
Forks gained+0+8+10

speakrs gained 41 stars in the last 30 days, about 1 a day, and now has 175. It is about 1 year old and has averaged roughly 175 stars a year. It ranks #1,938 among Rust repositories and #20,497 across all languages on GitHubRepo.

Trending Record

speakrs has maintained a continuous presence across global trending indexes, peaking at #1376. 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.

⇄ Alternatives & Direct Competitors

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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 #20,497 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#20,446 happy-loki/codexhub Rust ★ 176 Compare ↗
#20,446 Rone89/cilicili Swift ★ 176 Compare ↗
#20,446 theende/ende Rust ★ 176 Compare ↗
#20,446 OpenPortroid/ArmyOfTwoRecompilation C++ ★ 176 Compare ↗
#20,446 Koustubh12345/YTXTube Kotlin ★ 176 Compare ↗
#20,497 avencera/speakrs This Project Rust ★ 175
#20,497 planetbeing/libdmg-hfsplus C ★ 175 Compare ↗
#20,497 sunlightlabs/django-mediasync Python ★ 175 Compare ↗
#20,497 ask/chishop Python ★ 175 Compare ↗
#20,497 dkubb/yardstick Ruby ★ 175 Compare ↗
#20,497 mark-moseley/ruby-debug Ruby ★ 175 Compare ↗
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Frequently Asked Questions

What does speakrs do? +

Speaker diarization in Rust with pyannote-level accuracy. 1790–5970x realtime on NVIDIA GPUs, 430–910x on Apple Silicon.

Is speakrs actively maintained in 2026? +

Yes, speakrs is actively maintained. The latest code push was recorded on Oct 31, 2026 (13 days ago). It holds a calculated Maintenance Health Score of 93/100 (A+ rating) with 175 stars and 1 open issues.

What language is speakrs written in? +

The primary language is Rust. Topics include: audio, coreml, cuda, diarization, ml.

How many stars does speakrs have? +

speakrs has 175 stars and 26 forks on GitHub.

How does speakrs rank among GitHub repositories? +

With 175 stars, avencera/speakrs is ranked #20,497 globally across all repositories tracked on GitHubRepo and #1,938 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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