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huggingface/speech-to-speech

Build voice agents with open-source models

Python ◇ ai Apache-2.0
★13.4KSTARS
⑂1.7KFORKS
!45ISSUES
🏆#1,281GLOBAL RANK
🔥40DAYS TRENDING
🚀
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⚡ Executive Summary & Quick Facts

Authoritative Source

speech-to-speech is speech-to-speech is an open-source project written in Python: Build voice agents with open-source models..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), huggingface/speech-to-speech has accumulated 13,440 GitHub stars and 1,711 forks. It is written in Python, licensed under Apache-2.0, and ranks #1,281 globally. It is actively maintained with the latest commit recorded on Oct 13, 2026.”
Repository huggingface/speech-to-speech ↗
Primary Category ai
Language & Stack Python
Software License Apache-2.0
Community Traction ★ 13.4K stars · ⑂ 1.7K forks · #1,281 globally
Maintenance ● Active (Last commit: Oct 13, 2026) · 45 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: 95/100 · Grade A+
✅
Is speech-to-speech actively maintained in 2026?
Verdict: Actively Maintained & Highly Recommended

Yes, speech-to-speech is actively maintained. Continuous telemetry recorded the last code commit on Oct 13, 2026 (31 days ago). Supported by 13,440 stars and 1,711 community forks, this repository holds a calculated health index of 95/100, reflecting regular maintenance (31 days ago) and healthy issue cadence.

Commit Recency
Oct 13, 2026
31 days since last push
Issue Backlog
45 Open Issues
Healthy Issue Cadence
Community Backing
1.7K Forks
13.4K Stars Recorded
Software License
Apache-2.0
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for huggingface/speech-to-speech
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Momentum

+0

STARS · LAST 30 DAYS

1

PER DAY

#221

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+0+0+90
Per day111
Forks gained+0+0+86

speech-to-speech gained 0 stars in the last 30 days, about 1 a day, and now has 13.4K. It is about 2 years old and has averaged roughly 6.7K stars a year. It ranks #221 among Python repositories and #1,281 across all languages on GitHubRepo.

Trending Record

speech-to-speech has maintained a continuous presence across global trending indexes, peaking at #486. Below is the 30-day activity profile:

💡 Overview

speech-to-speech is an open-source project written in Python: Build voice agents with open-source models.

Engineered for speed, consistency, and developer ease, it solves common hurdles in ai, assistant, language-model. 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 Python 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
$ pip install speech-to-speech

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

speech-to-speech 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

Autonomous AI Agents

Orchestrate intelligent workflows and tool-calling routines with speech-to-speech.

Model Inference & Prompting

Integrate fast, local or cloud-hosted generative AI models directly into production code.

Context Memory & RAG

Augment language models with dynamic vector retrieval and structured project memory.

Developer Productivity

Automate repetitive engineering tasks, code generation, and test creation using AI agents.

🚀 Getting Started

1

Install speech-to-speech using your package manager: `pip install speech-to-speech`

2

Initialize your project workspace or configuration file for speech-to-speech.

3

Import speech-to-speech into your codebase or invoke it directly from your terminal.

4

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

👍 Strengths

Active community backing with 13,342 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 license.
Built in Python 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 Python 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 Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

huggingface/speech-to-speech is currently ranked #1,281 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#1,276 apify/apify-mcp-server TypeScript ★ 13.5K Compare ↗
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#1,280 AutoHotkey/AutoHotkey C++ ★ 13.4K Compare ↗
#1,281 huggingface/speech-to-speech This Project Python ★ 13.4K
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Frequently Asked Questions

What does speech-to-speech do? +

Build voice agents with open-source models

Is speech-to-speech actively maintained in 2026? +

Yes, speech-to-speech is actively maintained. The latest code push was recorded on Oct 13, 2026 (31 days ago). It holds a calculated Maintenance Health Score of 95/100 (A+ rating) with 13,440 stars and 45 open issues.

What language is speech-to-speech written in? +

The primary language is Python. Topics include: ai, assistant, language-model, machine-learning, python.

How many stars does speech-to-speech have? +

speech-to-speech has 13,440 stars and 1,711 forks on GitHub.

How does speech-to-speech rank among GitHub repositories? +

With 13,440 stars, huggingface/speech-to-speech is ranked #1,281 globally across all repositories tracked on GitHubRepo and #221 among Python projects.

What license is speech-to-speech distributed under? +

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

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