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Picovoice/leopard

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

Python ◇ asr Apache-2.0
★485STARS
⑂29FORKS
!2ISSUES
🏆#12,555GLOBAL RANK
🔥8DAYS TRENDING
🚀
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⚡ Executive Summary & Quick Facts

Authoritative Source

leopard is leopard is an open-source project written in Python: On-device 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/leopard has accumulated 485 GitHub stars and 29 forks. It is written in Python, licensed under Apache-2.0, and ranks #12,555 globally. It is actively maintained with the latest commit recorded on Nov 2, 2026.”
Repository Picovoice/leopard ↗
Primary Category asr
Language & Stack Python
Software License Apache-2.0
Community Traction ★ 485 stars · ⑂ 29 forks · #12,555 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 leopard actively maintained in 2026?
Verdict: Actively Maintained & Highly Recommended

Yes, leopard is actively maintained. Continuous telemetry recorded the last code commit on Nov 2, 2026 (10 days ago). Supported by 485 stars and 29 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
29 Forks
485 Stars Recorded
Software License
Apache-2.0
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for Picovoice/leopard
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Momentum

+12

STARS · LAST 30 DAYS

1

PER DAY

#1,702

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+0+12+90
Per day111
Forks gained+0+3+10

leopard gained 12 stars in the last 30 days, about 1 a day, and now has 485. It is about 7 years old and has averaged roughly 69 stars a year. It ranks #1,702 among Python repositories and #12,555 across all languages on GitHubRepo.

Trending Record

leopard has maintained a continuous presence across global trending indexes, peaking at #13069. Below is the 30-day activity profile:

💡 Overview

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

Engineered for speed, consistency, and developer ease, it solves common hurdles in asr, automatic-speech-recognition, on-device. 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 leopard

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

leopard 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 leopard 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 leopard using your package manager: `pip install leopard`

2

Initialize your project workspace or configuration file for leopard.

3

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

4

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

👍 Strengths

Active community backing with 485 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.

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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

Picovoice/leopard is currently ranked #12,555 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#12,548 hashicorp/terraform-provider-azuread Go ★ 486 Compare ↗
#12,548 cortex-js/compute-engine TypeScript ★ 486 Compare ↗
#12,548 ordo-one/benchmark Swift ★ 486 Compare ↗
#12,548 bucketeer-io/bucketeer Go ★ 486 Compare ↗
#12,548 vibeinging/dsh-desktop JavaScript ★ 486 Compare ↗
#12,555 Picovoice/leopard This Project Python ★ 485
#12,555 shuber/curl PHP ★ 485 Compare ↗
#12,555 bistromath/gr-air-modes Python ★ 485 Compare ↗
#12,555 opendocument-app/OpenDocument.droid Kotlin ★ 485 Compare ↗
#12,555 rollbar/rollbar-gem Ruby ★ 485 Compare ↗
#12,555 hitobito/hitobito Ruby ★ 485 Compare ↗
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Frequently Asked Questions

What does leopard do? +

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

Is leopard actively maintained in 2026? +

Yes, leopard 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 485 stars and 2 open issues.

What language is leopard written in? +

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

How many stars does leopard have? +

leopard has 485 stars and 29 forks on GitHub.

How does leopard rank among GitHub repositories? +

With 485 stars, Picovoice/leopard is ranked #12,555 globally across all repositories tracked on GitHubRepo and #1,702 among Python projects.

What license is leopard distributed under? +

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

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