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huggingface/speech-to-speech

Build voice agents with open-source models

Python ◇ ai Apache-2.0

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★13.3KSTARS

⑂1.7KFORKS

!119ISSUES

🏆#575GLOBAL RANK

🔥1DAYS TRENDING

🚀

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Star History

Continuous Observations

Interactive star growth chart for huggingface/speech-to-speech

Momentum

+334

STARS · LAST 30 DAYS

PER DAY

#103

MOST-STARRED Python

Window	7 days	30 days	90 days
Stars gained	+77	+334	+990
Per day	11	11	11
Forks gained	+8	+34	+85

speech-to-speech gained 334 stars in the last 30 days, about 11 a day, and now has 13.3K. It is about 2 years old and has averaged roughly 6.7K stars a year. It ranks #103 among Python repositories and #575 across all languages on GitHubRepo.

Trending Record

speech-to-speech has maintained a continuous presence across global trending indexes, peaking at #1433. 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

Optimized execution pipeline written in Python 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

terminal

$ pip install speech-to-speech

$ pip install speech-to-speech # or: brew install speech-to-speech

> 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

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

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

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

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 #575 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

Rank	Repository	Language	Stars	Action
#570	hajimehoshi/ebiten	Go	★ 13.5K	Compare ↗
#571	element-hq/element-web	TypeScript	★ 13.5K	Compare ↗
#572	semantica-agi/semantica	Python	★ 13.5K	Compare ↗
#573	facebook/astryx	TypeScript	★ 13.5K	Compare ↗
#574	jonas/tig	C	★ 13.4K	Compare ↗
#575	huggingface/speech-to-speech This Project	Python	★ 13.3K
#576	mealie-recipes/mealie	Python	★ 13.3K	Compare ↗
#577	plantuml/plantuml	Java	★ 13.3K	Compare ↗
#578	ninja-build/ninja	C++	★ 13.3K	Compare ↗
#579	oblien/openship	TypeScript	★ 13.2K	Compare ↗
#580	rommapp/romm	Python	★ 13.2K	Compare ↗

Frequently Asked Questions

What does speech-to-speech do? +

Build voice agents with open-source models

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

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

Is speech-to-speech actively maintained? +

Yes, the last recorded push was on Sep 28, 2026 with 119 open issues being tracked.

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

speech-to-speech has 13,342 stars and 1,693 forks on GitHub.

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

With 13,342 stars, huggingface/speech-to-speech is ranked #575 globally across all repositories tracked on GitHubRepo and #103 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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💼

LinkedIn

Why speech-to-speech is replacing paid subscriptions for engineering teams

Stop paying $50+/month for locked SaaS tools.

Over 13,342 developers have starred huggingface/speech-to-speech, an impressive Python open-source project designed to Build voice agents with open-source models.

Key Engineering Advantages:
• 100% Local-First: Complete data privacy with zero tracking or telemetry.
• Zero Subscription Costs: No paywalls, per-seat fees, or API markups.
• Complete Customization: Native open-source architecture you can fork, inspect, and deploy anywhere.
• Proven Adoption: 13,342 GitHub stars and 1,693 forks.

If you're looking to streamline your engineering workflows without ballooning software expenses, this is worth checking out.

👉 Full star velocity and architectural report: https://githubrepo.cloud/repo/huggingface/speech-to-speech
⭐ GitHub Repository: https://github.com/huggingface/speech-to-speech

#OpenSource #SoftwareEngineering #DeveloperTools #Tech #Programming #Python

🤖

Reddit (r/opensource, r/webdev, r/selfhosted)

Show r/opensource: speech-to-speech – A free, self-hosted tool that lets you Build voice agents with open-source models

Hey everyone,

I wanted to share an interesting open-source project called **speech-to-speech** (https://github.com/huggingface/speech-to-speech) that has been picking up heavy momentum lately (13,342 stars).

### What problem does it solve?
Many existing tools in this domain require expensive cloud plans or store your data on third-party servers. speech-to-speech was built with a local-first philosophy, allowing developers to Build voice agents with open-source models without recurring subscription costs or privacy compromises.

### Tech Stack & Details:
- **Language:** Python
- **License:** Apache-2.0
- **GitHub:** [huggingface/speech-to-speech](https://github.com/huggingface/speech-to-speech)
- **Live Star Momentum Tracker:** [https://githubrepo.cloud/repo/huggingface/speech-to-speech](https://githubrepo.cloud/repo/huggingface/speech-to-speech)

Has anyone here tested this in production or integrated it into existing pipelines? Would love to hear your experience and feedback!

🟧

Hacker News (Show HN)

Show HN: speech-to-speech – Build voice agents with open-source models

Hi HN,

speech-to-speech is an open-source Python project designed to Build voice agents with open-source models.

Rather than relying on closed cloud endpoints, it executes locally on your own machine, providing predictable latency, total privacy, and full control.

Repository: https://github.com/huggingface/speech-to-speech
Documentation & Metrics: https://githubrepo.cloud/repo/huggingface/speech-to-speech

Feedback and PRs are welcome.

✍️

Dev.to / Hashnode Tags: opensource, python, devtools, webdev

This GitHub repo replaces a $50 a month tool! Stop paying expensive software subscriptions. Meet speech-to-speech (13,342 GitHub Stars)

---
title: This GitHub repo replaces a $50 a month tool! Stop paying expensive software subscriptions. Meet speech-to-speech
published: true
tags: opensource, python, devtools, programming
---

## Stop Paying Software Subscriptions For This

Finding high-quality, production-ready open source alternatives to expensive proprietary software can save engineering teams thousands of dollars every year.

Today, we're looking at **[huggingface/speech-to-speech](https://github.com/huggingface/speech-to-speech)**, a rapidly rising repository with **13,342 GitHub stars** and **1,693 forks**.

### What is speech-to-speech?

> Build voice agents with open-source models

Written in **Python**, speech-to-speech runs directly on your local workstation or private server, keeping your data secure and eliminating recurring license fees.

### Key Highlights
- **High Performance:** Lightweight, reliable, and built in Python.
- **Privacy & Security:** Complete ownership of your environment and data.
- **Growing Momentum:** Ranked **#575** globally across tracked repositories on [GitHubRepo](https://githubrepo.cloud/repo/huggingface/speech-to-speech).

### Quick Start
To get started locally:

```bash
git clone https://github.com/huggingface/speech-to-speech.git
cd speech-to-speech
```

Check out the full repository and star history analytics here:
- **GitHub:** [huggingface/speech-to-speech](https://github.com/huggingface/speech-to-speech)
- **Star Velocity Tracker:** [speech-to-speech on GitHubRepo.cloud](https://githubrepo.cloud/repo/huggingface/speech-to-speech)

𝕏

X / Twitter Communities

Thread / Community Post for speech-to-speech

Developers are sleeping on this GitHub repo 👇

huggingface/speech-to-speech (13,342 ⭐) replaces expensive monthly software subscriptions with 100% free open source code.

⚡ What it does: Build voice agents with open-source models
💻 Built with: Python
🔒 100% local execution & privacy

Check live star velocity and benchmarks:
https://githubrepo.cloud/repo/huggingface/speech-to-speech

#opensource #developer #coding #tech #programming

🧵

Threads Topics

Topic Discussion: Open Source & Developer Tools

This GitHub repo replaces a $50/month tool! 🚀

If you want to save hours of manual work and stop paying subscriptions, check out huggingface/speech-to-speech.

It already has over 13,342 stars and lets you Build voice agents with open-source models.

Drop a comment if you've tried it, or check the full star momentum report:
https://githubrepo.cloud/repo/huggingface/speech-to-speech

From our network

huggingface/speech-to-speech

Star History

Momentum

Trending Record

💡 Overview

⚡ Key Features

📥 Installation

⚙ System Requirements

Platforms

Runtime & Dependencies

Architecture

🧠 How It Works

🎯 Production Use Cases

Autonomous AI Agents

Model Inference & Prompting

Context Memory & RAG

Developer Productivity

🚀 Getting Started

👍 Strengths

⚠️ Considerations

⇄ Alternatives & Direct Competitors

👥 Who Should Use This

🏆 Nearby in the Rankings

Frequently Asked Questions

Claim this repository

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