xxnuo/mtranserver

Offline translation model server with low resource consumption, fast speed, and private deployment capability. 低资源占用速度快可私有部署的离线翻译模型服务器

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Summary Information

Updated 58 minutes ago
Added to GitGenius on September 14th, 2026
Created on February 6th, 2025
Open Issues & Pull Requests: 33 (+0)
GitHub issues: Enabled
Number of forks: 301
Total Stargazers: 4,703 (+0)
Total Subscribers: 24 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 7.3 hours
Mean response time: 15.3 days
90th percentile: 30.5 days
Tracked items: 130

Most active contributors

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How this project is maintained

Around half of the issues opened in the past year never receive a reply. 94% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. Work labelled "bug" is answered fastest, typically in under an hour, while "enhancement" waits about 7 days. Only 11% of issues opened in the past year have been closed. Three people close 82% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 31
New in 7 days: 4
Closed in 7 days: 0
Avg open age: 182 days
Stale 30+ days: 27
Stale 90+ days: 20

Recent activity

Opened in 7 days: 3
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • enhancement (19)
  • bug (15)
  • question (5)
  • help wanted (3)
  • documentation (1)

Most active issues this week

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Detailed Description

MTranServer is an offline translation model server that runs locally without requiring a graphics card.

The tool addresses the need for fast, private translation without relying on cloud APIs or large language models. It achieves this by running lightweight translation models locally, delivering average response times of fifty milliseconds per request and supporting translation between major world languages. The server is designed specifically for offline operation, low resource consumption, and cross-platform deployment to enable unlimited free translation. The README acknowledges that translation quality is constrained by model size and optimization compared to large model APIs, and recommends online APIs for users requiring high-quality translation.

The project suits developers and users who prioritize translation speed and privacy over quality, particularly those deploying on resource-constrained systems or requiring local operation without internet dependency. It works well for code comment translation, immersive reading experiences, and scenarios where millisecond-level latency matters. The tool offers desktop applications for Windows, Mac, and Linux with one-click startup, alongside server deployment options via Docker Compose or command-line installation. An IDE plugin called MTranCode integrates with VS Code and related editors for translating code comments, and browser extensions extend functionality to web browsing.

The project maintains active development with regular updates addressing memory optimization, speed improvements, and stability enhancements. The codebase is written in C++ and distributed through multiple channels including desktop releases, npm package management, and Docker deployment. Community contributors provide hosted demo instances with online testing interfaces. The tool includes built-in UI and Swagger documentation for API debugging, and the README emphasizes frequent updates as a resource for troubleshooting issues.