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

imankulov/vqmetrics

Python functions to convert between different speech quality metrics

Python ◇ developer-tools CC0-1.0
★54STARS
⑂13FORKS
!1ISSUES
🏆#20,723GLOBAL RANK
🔥33DAYS TRENDING
🚀
Maintainer Growth Kit for vqmetrics

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

Claim Repo

⚡ Executive Summary & Quick Facts

Authoritative Source

vqmetrics is vqmetrics is an open-source project written in Python: Python functions to convert between different speech quality metrics..

Repository imankulov/vqmetrics ↗
Primary Category developer tools
Language & Stack Python
Software License CC0-1.0
Community Traction ★ 54 stars · ⑂ 13 forks · #20,723 globally
Maintenance ● Active (Last commit: Apr 25, 2018) · 1 open issues
Target Audience Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

Star History

Continuous Observations
Interactive star growth chart for imankulov/vqmetrics
CSV
⭐ VIRAL README KIT

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.

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

Compact Shields-style badges for your README header. Shows real-time stars and global ranking.

Featured badge Stars badge Rank badge
markdown (badge trio)
[![Featured on GitHubRepo.cloud](https://githubrepo.cloud/badge/imankulov/vqmetrics.svg?metric=featured)](https://githubrepo.cloud/repo/imankulov/vqmetrics?utm_source=readme_badge) [![GitHubRepo Stars](https://githubrepo.cloud/badge/imankulov/vqmetrics.svg?metric=stars)](https://githubrepo.cloud/repo/imankulov/vqmetrics?utm_source=readme_badge) [![Global Rank](https://githubrepo.cloud/badge/imankulov/vqmetrics.svg?metric=rank)](https://githubrepo.cloud/repo/imankulov/vqmetrics?utm_source=readme_badge)

Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#2,822

MOST-STARRED Python

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

vqmetrics gained 10 stars in the last 30 days, about 1 a day, and now has 54. It is about 17 years old and has averaged roughly 3 stars a year. It ranks #2,822 among Python repositories and #20,723 across all languages on GitHubRepo.

Trending Record

vqmetrics has maintained a continuous presence across global trending indexes, peaking at #100. Below is the 30-day activity profile:

💡 Overview

vqmetrics is an open-source project written in Python: Python functions to convert between different speech quality metrics.

Engineered for speed, consistency, and developer ease, it solves common hurdles in Python. 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 vqmetrics

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

vqmetrics 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 vqmetrics 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 CC0-1.0 license.

🚀 Getting Started

1

Install vqmetrics using your package manager: `pip install vqmetrics`

2

Initialize your project workspace or configuration file for vqmetrics.

3

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

4

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

👍 Strengths

Active community backing with 54 GitHub stars and verified adoption.
Permissive open-source distribution under the CC0-1.0 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 ★ 485.9K 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 ★ 254.4K 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

imankulov/vqmetrics is currently ranked #20,723 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#20,674 isas1/daily-team JavaScript ★ 55 Compare ↗
#20,674 lcandy2/sim-agentation Swift ★ 55 Compare ↗
#20,674 justdataplease/art-history-museum TypeScript ★ 55 Compare ↗
#20,674 glmn-ai/neurosquad-cli TypeScript ★ 55 Compare ↗
#20,674 ChenxingJi-Innovate/Cheatcode_ Swift ★ 55 Compare ↗
#20,723 imankulov/vqmetrics This Project Python ★ 54
#20,723 Empact/validates_email_veracity_of Ruby ★ 54 Compare ↗
#20,723 swdyh/quilt Ruby ★ 54 Compare ↗
#20,723 cjbottaro/has_easy Ruby ★ 54 Compare ↗
#20,723 radiant/radiant-mailer-extension Ruby ★ 54 Compare ↗
#20,723 psi-im/iris C++ ★ 54 Compare ↗
SPONSORED Trending Developer Tools & Services

Frequently Asked Questions

What does vqmetrics do? +

Python functions to convert between different speech quality metrics

What language is vqmetrics written in? +

The primary language is Python. Topics include: software.

Is vqmetrics actively maintained? +

Yes, the last recorded push was on Apr 25, 2018 with 1 open issues being tracked.

How many stars does vqmetrics have? +

vqmetrics has 54 stars and 13 forks on GitHub.

How does vqmetrics rank among GitHub repositories? +

With 54 stars, imankulov/vqmetrics is ranked #20,723 globally across all repositories tracked on GitHubRepo and #2,822 among Python projects.

What license is vqmetrics distributed under? +

The repository reports a CC0-1.0 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