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liguozheng-ac/japanese-speech-xray

Evidence-aware Japanese speech visualization: pitch and intonation, waveform inspection, and experimental alignment.

★110STARS
⑂12FORKS
!0ISSUES
🏆#22,910GLOBAL RANK
🔥11DAYS TRENDING
🚀
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⚡ Executive Summary & Quick Facts

Authoritative Source

japanese-speech-xray is japanese-speech-xray is an open-source project written in Python: Evidence-aware Japanese speech visualization: pitch and intonation, waveform inspection, and experimental alignment..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), liguozheng-ac/japanese-speech-xray has accumulated 110 GitHub stars and 12 forks. It is written in Python, licensed under MIT, and ranks #22,910 globally. It is actively maintained with the latest commit recorded on Oct 17, 2026.”
Repository liguozheng-ac/japanese-speech-xray ↗
Primary Category audio processing
Language & Stack Python
Software License MIT
Community Traction ★ 110 stars · ⑂ 12 forks · #22,910 globally
Maintenance ● Active (Last commit: Oct 17, 2026) · 0 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: 88/100 · Grade A
✅
Is japanese-speech-xray actively maintained in 2026?
Verdict: Actively Maintained

Yes, japanese-speech-xray is actively maintained. Continuous telemetry recorded the last code commit on Oct 17, 2026 (18 days ago). Supported by 110 stars and 12 community forks, this repository holds a calculated health index of 88/100, reflecting regular maintenance (18 days ago) and healthy issue cadence.

Commit Recency
Oct 17, 2026
18 days since last push
Issue Backlog
0 Open Issues
Healthy Issue Cadence
Community Backing
12 Forks
110 Stars Recorded
Software License
MIT
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for liguozheng-ac/japanese-speech-xray
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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#3,115

MOST-STARRED Python

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

japanese-speech-xray gained 10 stars in the last 30 days, about 1 a day, and now has 110. It is about 1 year old and has averaged roughly 110 stars a year. It ranks #3,115 among Python repositories and #22,910 across all languages on GitHubRepo.

Trending Record

japanese-speech-xray has maintained a continuous presence across global trending indexes, peaking at #18246. Below is the 30-day activity profile:

💡 Overview

japanese-speech-xray is an open-source project written in Python: Evidence-aware Japanese speech visualization: pitch and intonation, waveform inspection, and experimental alignment.

Engineered for speed, consistency, and developer ease, it solves common hurdles in audio-processing, fastapi, japanese. 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 japanese-speech-xray

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

japanese-speech-xray 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 japanese-speech-xray 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 MIT license.

🚀 Getting Started

1

Install japanese-speech-xray using your package manager: `pip install japanese-speech-xray`

2

Initialize your project workspace or configuration file for japanese-speech-xray.

3

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

4

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

👍 Strengths

Active community backing with 110 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT 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

liguozheng-ac/japanese-speech-xray is currently ranked #22,910 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#22,821 storytold/craft-ai-integrations Rust ★ 111 Compare ↗
#22,821 uclanlp/OpenVLHarness Python ★ 111 Compare ↗
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#22,821 azlen/initialis JavaScript ★ 111 Compare ↗
#22,910 liguozheng-ac/japanese-speech-xray This Project Python ★ 110
#22,910 dan-manges/unit-record Ruby ★ 110 Compare ↗
#22,910 hinke/the-cloud-player JavaScript ★ 110 Compare ↗
#22,910 xmpppy/xmpppy Python ★ 110 Compare ↗
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Frequently Asked Questions

What does japanese-speech-xray do? +

Evidence-aware Japanese speech visualization: pitch and intonation, waveform inspection, and experimental alignment.

Is japanese-speech-xray actively maintained in 2026? +

Yes, japanese-speech-xray is actively maintained. The latest code push was recorded on Oct 17, 2026 (18 days ago). It holds a calculated Maintenance Health Score of 88/100 (A rating) with 110 stars and 0 open issues.

What language is japanese-speech-xray written in? +

The primary language is Python. Topics include: audio-processing, fastapi, japanese, librosa, pitch-tracking.

How many stars does japanese-speech-xray have? +

japanese-speech-xray has 110 stars and 12 forks on GitHub.

How does japanese-speech-xray rank among GitHub repositories? +

With 110 stars, liguozheng-ac/japanese-speech-xray is ranked #22,910 globally across all repositories tracked on GitHubRepo and #3,115 among Python projects.

What license is japanese-speech-xray distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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