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spadequack/weewar-ai-lib

Library for Weewar AI development

★4STARS
⑂0FORKS
!0ISSUES
🏆#20,864GLOBAL RANK
🔥21DAYS TRENDING
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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#1,404

MOST-STARRED Java

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

weewar-ai-lib gained 10 stars in the last 30 days, about 1 a day, and now has 4. It is about 18 years old and has averaged roughly 0 stars a year. It ranks #1,404 among Java repositories and #20,864 across all languages on GitHubRepo.

Trending Record

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

💡 Overview

weewar-ai-lib is an open-source project written in Java: Library for Weewar AI development.

Engineered for speed, consistency, and developer ease, it solves common hurdles in Java. 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 Java 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
$ git clone https://github.com/spadequack/weewar-ai-lib.git
cd weewar-ai-lib

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

JDK 17 or higher (OpenJDK / GraalVM)

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

weewar-ai-lib coordinates its core functionality through a modular Java 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 weewar-ai-lib into Java 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 source license.

🚀 Getting Started

1

Install weewar-ai-lib using your package manager: `git clone https://github.com/spadequack/weewar-ai-lib.git`

2

Initialize your project workspace or configuration file for weewar-ai-lib.

3

Import weewar-ai-lib into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `weewar-ai-lib --help` to verify successful setup.

👍 Strengths

Active community backing with 4 GitHub stars and verified adoption.
Permissive open-source distribution under the Open Source license.
Built in Java 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 Java 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 Java, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

spadequack/weewar-ai-lib is currently ranked #20,864 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#20,096 crafterm/guitarzero Ruby ★ 5 Compare ↗
#20,096 ask/roleplay Python ★ 5 Compare ↗
#20,096 francois/family_budget JavaScript ★ 5 Compare ↗
#20,096 psq/mephisto-erb-templates-plugin Ruby ★ 5 Compare ↗
#20,096 davec/openbrewcomp Ruby ★ 5 Compare ↗
#20,864 spadequack/weewar-ai-lib This Project Java ★ 4
#20,864 devinus/kaolin C++ ★ 4 Compare ↗
#20,864 adelcambre/textilizefu Ruby ★ 4 Compare ↗
#20,864 anaisbetts/yikes C ★ 4 Compare ↗
#20,864 sudachen/python-tool-legacy C ★ 4 Compare ↗
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Frequently Asked Questions

What does weewar-ai-lib do? +

Library for Weewar AI development

What language is weewar-ai-lib written in? +

The primary language is Java. Topics include: software.

Is weewar-ai-lib actively maintained? +

Yes, the last recorded push was on Jan 15, 2010 with 0 open issues being tracked.

How many stars does weewar-ai-lib have? +

weewar-ai-lib has 4 stars and 0 forks on GitHub.

How does weewar-ai-lib rank among GitHub repositories? +

With 4 stars, spadequack/weewar-ai-lib is ranked #20,864 globally across all repositories tracked on GitHubRepo and #1,404 among Java projects.

What license is weewar-ai-lib distributed under? +

No SPDX license identified yet. Code without a license is subject to copyright by default.

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