High-performance Mahjong win detection, waiting-hand calculation and AI discard algorithm based on lookup tables, with behavior-identical Java / Go / C++ implementations and a live web demo.
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+12
STARS · LAST 30 DAYS
1
PER DAY
#1,018
MOST-STARRED Go
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +12 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
majiang_algorithm gained 12 stars in the last 30 days, about 1 a day, and now has 482. It is about 9 years old and has averaged roughly 54 stars a year. It ranks #1,018 among Go repositories and #9,103 across all languages on GitHubRepo.
Trending Record
2
DAYS ON TRENDING
#9528
BEST RANK
Oct 17, 2026
FIRST APPEARANCE
Active
STATUS TODAY
majiang_algorithm has maintained a continuous presence across global trending indexes, peaking at #9528. Below is the 30-day activity profile:
💡 Overview
majiang_algorithm is an open-source project written in Go: High-performance Mahjong win detection, waiting-hand calculation and AI discard algorithm based on lookup tables, with behavior-identical Java / Go / C++ implementations and a live web demo.
Engineered for speed, consistency, and developer ease, it solves common hurdles in ai, cpp, go. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Go for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ go install github.com/esrrhs/majiang_algorithm@latest⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Go >= 1.21 runtime environment
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
majiang_algorithm coordinates its core functionality through a modular Go 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
Autonomous AI Agents
Orchestrate intelligent workflows and tool-calling routines with majiang_algorithm.
Model Inference & Prompting
Integrate fast, local or cloud-hosted generative AI models directly into production code.
Context Memory & RAG
Augment language models with dynamic vector retrieval and structured project memory.
Developer Productivity
Automate repetitive engineering tasks, code generation, and test creation using AI agents.
🚀 Getting Started
Install majiang_algorithm using your package manager: `go install github.com/esrrhs/majiang_algorithm@latest`
Initialize your project workspace or configuration file for majiang_algorithm.
Import majiang_algorithm into your codebase or invoke it directly from your terminal.
Execute your test suite or run `majiang_algorithm --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Go, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
esrrhs/majiang_algorithm is currently ranked #9,103 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #9,084 | maloyan/manim-web | TypeScript | ★ 484 | Compare ↗ |
| #9,084 | aimen08/noty | Swift | ★ 484 | Compare ↗ |
| #9,100 | koppen/redmine_github_hook | Ruby | ★ 483 | Compare ↗ |
| #9,100 | dg/rss-php | PHP | ★ 483 | Compare ↗ |
| #9,100 | stijnherfst/HiveWE | C++ | ★ 483 | Compare ↗ |
| #9,103 | esrrhs/majiang_algorithm This Project | Go | ★ 482 | |
| #9,103 | tony2001/pinba_engine | C++ | ★ 482 | Compare ↗ |
| #9,103 | u01jmg3/ics-parser | PHP | ★ 482 | Compare ↗ |
| #9,103 | Admidio/admidio | PHP | ★ 482 | Compare ↗ |
| #9,103 | poppastring/dasblog-core | C# | ★ 482 | Compare ↗ |
| #9,103 | cortex-js/compute-engine | TypeScript | ★ 482 | Compare ↗ |
Frequently Asked Questions
What does majiang_algorithm do? +
High-performance Mahjong win detection, waiting-hand calculation and AI discard algorithm based on lookup tables, with behavior-identical Java / Go / C++ implementations and a live web demo.
What language is majiang_algorithm written in? +
The primary language is Go. Topics include: ai, cpp, go, mahjong, majiang.
Is majiang_algorithm actively maintained? +
Yes, the last recorded push was on Oct 17, 2026 with 0 open issues being tracked.
How many stars does majiang_algorithm have? +
majiang_algorithm has 482 stars and 172 forks on GitHub.
How does majiang_algorithm rank among GitHub repositories? +
With 482 stars, esrrhs/majiang_algorithm is ranked #9,103 globally across all repositories tracked on GitHubRepo and #1,018 among Go projects.
What license is majiang_algorithm distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
