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meituan-longcat/WBench

WBench: A Comprehensive Multi-turn Benchmark for Interactive Video World Model Evaluation

Python ◇ evaluation MIT
★248STARS
⑂13FORKS
!5ISSUES
🏆#10,592GLOBAL RANK
🔥2DAYS TRENDING
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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#1,339

MOST-STARRED Python

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

WBench gained 10 stars in the last 30 days, about 1 a day, and now has 248. It is about 1 year old and has averaged roughly 248 stars a year. It ranks #1,339 among Python repositories and #10,592 across all languages on GitHubRepo.

Trending Record

WBench has maintained a continuous presence across global trending indexes, peaking at #10302. Below is the 30-day activity profile:

💡 Overview

WBench is an open-source project written in Python: WBench: A Comprehensive Multi-turn Benchmark for Interactive Video World Model Evaluation.

Engineered for speed, consistency, and developer ease, it solves common hurdles in evaluation, worldmodel. 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 WBench

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

WBench 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 WBench 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 WBench using your package manager: `pip install WBench`

2

Initialize your project workspace or configuration file for WBench.

3

Import WBench into your codebase or invoke it directly from your terminal.

4

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

👍 Strengths

Active community backing with 248 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.

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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

meituan-longcat/WBench is currently ranked #10,592 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

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#10,592 meituan-longcat/WBench This Project Python ★ 248
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Frequently Asked Questions

What does WBench do? +

WBench: A Comprehensive Multi-turn Benchmark for Interactive Video World Model Evaluation

What language is WBench written in? +

The primary language is Python. Topics include: evaluation, worldmodel.

Is WBench actively maintained? +

Yes, the last recorded push was on Oct 12, 2026 with 5 open issues being tracked.

How many stars does WBench have? +

WBench has 248 stars and 13 forks on GitHub.

How does WBench rank among GitHub repositories? +

With 248 stars, meituan-longcat/WBench is ranked #10,592 globally across all repositories tracked on GitHubRepo and #1,339 among Python projects.

What license is WBench distributed under? +

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

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