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suncityldp/zx-bench

A reproducible local LLM benchmarking platform with versioned datasets, deterministic scoring, and auditable reports.

TypeScript ◇ ai-evaluation MIT
★144STARS
⑂17FORKS
!8ISSUES
🏆#5,915GLOBAL RANK
🔥4DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for suncityldp/zx-bench
CSV

Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#623

MOST-STARRED TypeScript

Window7 days30 days90 days
Stars gained+7+10+90
Per day111
Forks gained+1+3+10

zx-bench gained 10 stars in the last 30 days, about 1 a day, and now has 144. It is about 1 year old and has averaged roughly 144 stars a year. It ranks #623 among TypeScript repositories and #5,915 across all languages on GitHubRepo.

Trending Record

zx-bench has maintained a continuous presence across global trending indexes, peaking at #3252. Below is the 30-day activity profile:

💡 Overview

zx-bench is an open-source project written in TypeScript: A reproducible local LLM benchmarking platform with versioned datasets, deterministic scoring, and auditable reports.

Engineered for speed, consistency, and developer ease, it solves common hurdles in ai-evaluation, benchmarking, docker. 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 TypeScript 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
$ npm install zx-bench

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Node.js >= 18, npm, pnpm or bun

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

zx-bench coordinates its core functionality through a modular TypeScript 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 zx-bench.

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

1

Install zx-bench using your package manager: `npm install zx-bench`

2

Initialize your project workspace or configuration file for zx-bench.

3

Import zx-bench into your codebase or invoke it directly from your terminal.

4

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

👍 Strengths

Active community backing with 143 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in TypeScript 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 TypeScript 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 TypeScript, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

suncityldp/zx-bench is currently ranked #5,915 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#5,894 open-telemetry/opentelemetry-kotlin Kotlin ★ 145 Compare ↗
#5,894 jztan/pdf-mcp Python ★ 145 Compare ↗
#5,894 crabbuild/crab Rust ★ 145 Compare ↗
#5,894 Mikeli7666/DuoBar Swift ★ 145 Compare ↗
#5,894 dorkitude/webctl Go ★ 145 Compare ↗
#5,915 suncityldp/zx-bench This Project TypeScript ★ 144
#5,915 azendal/elastic CSS ★ 144 Compare ↗
#5,915 shuber/sortable Ruby ★ 144 Compare ↗
#5,915 cournape/audiolab C ★ 144 Compare ↗
#5,915 nsanta/openoverflow JavaScript ★ 144 Compare ↗
#5,915 Bobris/BTDB C# ★ 144 Compare ↗

Frequently Asked Questions

What does zx-bench do? +

A reproducible local LLM benchmarking platform with versioned datasets, deterministic scoring, and auditable reports.

What language is zx-bench written in? +

The primary language is TypeScript. Topics include: ai-evaluation, benchmarking, docker, llm-benchmark, llm-evaluation.

Is zx-bench actively maintained? +

Yes, the last recorded push was on Sep 25, 2026 with 8 open issues being tracked.

How many stars does zx-bench have? +

zx-bench has 144 stars and 17 forks on GitHub.

How does zx-bench rank among GitHub repositories? +

With 144 stars, suncityldp/zx-bench is ranked #5,915 globally across all repositories tracked on GitHubRepo and #623 among TypeScript projects.

What license is zx-bench distributed under? +

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

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