Built something? We create video reels & spotlights for GitHub projects.Promote your project →
Picovoice
Home / Python / cheetah

Picovoice/cheetah

On-device streaming speech-to-text engine powered by deep learning

Python ◇ asr Apache-2.0
★672STARS
⑂78FORKS
!2ISSUES
🏆#10,663GLOBAL RANK
🔥8DAYS TRENDING
🚀
Maintainer Growth Kit for cheetah

Claim this project, add your verified backlink badge to your README, and download milestone cards.

Claim Repo

⚡ Executive Summary & Quick Facts

Authoritative Source

cheetah is cheetah is an open-source project written in Python: On-device streaming speech-to-text engine powered by deep learning ..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), Picovoice/cheetah has accumulated 672 GitHub stars and 78 forks. It is written in Python, licensed under Apache-2.0, and ranks #10,663 globally. It is actively maintained with the latest commit recorded on Nov 2, 2026.”
Repository Picovoice/cheetah ↗
Primary Category asr
Language & Stack Python
Software License Apache-2.0
Community Traction ★ 672 stars · ⑂ 78 forks · #10,663 globally
Maintenance ● Active (Last commit: Nov 2, 2026) · 2 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: 93/100 · Grade A+
✅
Is cheetah actively maintained in 2026?
Verdict: Actively Maintained & Highly Recommended

Yes, cheetah is actively maintained. Continuous telemetry recorded the last code commit on Nov 2, 2026 (10 days ago). Supported by 672 stars and 78 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
Nov 2, 2026
10 days since last push
Issue Backlog
2 Open Issues
Healthy Issue Cadence
Community Backing
78 Forks
672 Stars Recorded
Software License
Apache-2.0
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for Picovoice/cheetah
CSV
⭐ VIRAL README KIT & BACKLINKS

Add Live Star History & Verified Badges to README.md

Keep your repository README looking professional and dynamic. As our continuous crawler records new stars, these official SVG badges update in real time with zero maintenance.

Open README on GitHub ↗
Option 1: Interactive Star History Chart Dynamic SVG

Renders your high-resolution star trajectory chart right inside your GitHub README or project docs.

Picovoice/cheetah Star History Preview
markdown
[![Star History Chart](https://githubrepo.cloud/api/badge/chart/Picovoice/cheetah.svg?theme=dark)](https://githubrepo.cloud/repo/Picovoice/cheetah?utm_source=readme_chart)
Direct SVG Link ↗
Option 2: Verified Live Badges Suite Shields.io Style

Compact badges for your README header. Real-time stars, velocity, health audit, and rank.

Featured badge Stars badge Velocity badge Health badge Rank badge
markdown (all 5 badges)
[![Featured on GitHubRepo.cloud](https://githubrepo.cloud/badge/Picovoice/cheetah.svg?metric=featured)](https://githubrepo.cloud/repo/Picovoice/cheetah?utm_source=readme_badge) [![GitHubRepo Stars](https://githubrepo.cloud/badge/Picovoice/cheetah.svg?metric=stars)](https://githubrepo.cloud/repo/Picovoice/cheetah?utm_source=readme_badge) [![GitHubRepo Velocity](https://githubrepo.cloud/badge/Picovoice/cheetah.svg?metric=velocity)](https://githubrepo.cloud/repo/Picovoice/cheetah?utm_source=readme_badge) [![Maintenance Health](https://githubrepo.cloud/badge/Picovoice/cheetah.svg?metric=health)](https://githubrepo.cloud/repo/Picovoice/cheetah?utm_source=readme_badge) [![Global Rank](https://githubrepo.cloud/badge/Picovoice/cheetah.svg?metric=rank)](https://githubrepo.cloud/repo/Picovoice/cheetah?utm_source=readme_badge)

Momentum

+17

STARS · LAST 30 DAYS

1

PER DAY

#1,506

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+0+17+90
Per day111
Forks gained+0+3+10

cheetah gained 17 stars in the last 30 days, about 1 a day, and now has 672. It is about 8 years old and has averaged roughly 84 stars a year. It ranks #1,506 among Python repositories and #10,663 across all languages on GitHubRepo.

Trending Record

cheetah has maintained a continuous presence across global trending indexes, peaking at #11999. Below is the 30-day activity profile:

💡 Overview

cheetah is an open-source project written in Python: On-device streaming speech-to-text engine powered by deep learning .

Engineered for speed, consistency, and developer ease, it solves common hurdles in asr, automatic-speech-recognition, online-speech-recognition. 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 cheetah

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

cheetah 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

Production System Integration

Embed cheetah into Python 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 cheetah using your package manager: `pip install cheetah`

2

Initialize your project workspace or configuration file for cheetah.

3

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

4

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

👍 Strengths

Active community backing with 672 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

P
public-apis/public-apis ★ 497.3K Python

A collective list of free APIs

Compare ↗
F

:books: Freely available programming books

Compare ↗
P

Curated list of project-based tutorials

Compare ↗
H
NousResearch/hermes-agent ★ 257.2K Python

The agent that grows with you

Compare ↗

👥 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

Picovoice/cheetah is currently ranked #10,663 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#10,653 OpenRakis/Spice86 C# ★ 673 Compare ↗
#10,653 hggq/paozhu C++ ★ 673 Compare ↗
#10,653 gittuf/gittuf Go ★ 673 Compare ↗
#10,653 probabl-ai/skore Python ★ 673 Compare ↗
#10,653 NoblerWorks-HQ/IRONSIGHT TypeScript ★ 673 Compare ↗
#10,663 Picovoice/cheetah This Project Python ★ 672
#10,663 zone-eu/zone-mta JavaScript ★ 672 Compare ↗
#10,665 danielstocks/jQuery-Collapse JavaScript ★ 671 Compare ↗
#10,665 kubernetes-csi/csi-driver-smb Go ★ 671 Compare ↗
#10,665 planetscale/cli Go ★ 671 Compare ↗
#10,665 synfinatic/aws-sso-cli Go ★ 671 Compare ↗
SPONSORED Trending Developer Tools & Services

Frequently Asked Questions

What does cheetah do? +

On-device streaming speech-to-text engine powered by deep learning

Is cheetah actively maintained in 2026? +

Yes, cheetah is actively maintained. The latest code push was recorded on Nov 2, 2026 (10 days ago). It holds a calculated Maintenance Health Score of 93/100 (A+ rating) with 672 stars and 2 open issues.

What language is cheetah written in? +

The primary language is Python. Topics include: asr, automatic-speech-recognition, online-speech-recognition, speech-recognition, speech-to-text.

How many stars does cheetah have? +

cheetah has 672 stars and 78 forks on GitHub.

How does cheetah rank among GitHub repositories? +

With 672 stars, Picovoice/cheetah is ranked #10,663 globally across all repositories tracked on GitHubRepo and #1,506 among Python projects.

What license is cheetah distributed under? +

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

From our network
FOR MAINTAINERS

Built something? Put it in front of millions of developers.

We make a short reel about your project and post it across YouTube, Instagram, Threads, and X. Send a link, we do the rest.

SPONSORED Sponsored Partner