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google-deepmind/lab2d

A customisable 2D platform for agent-based AI research

★443STARS
⑂59FORKS
!4ISSUES
🏆#5,224GLOBAL RANK
🔥3DAYS TRENDING
🚀
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Momentum

+11

STARS · LAST 30 DAYS

1

PER DAY

#381

MOST-STARRED C++

Window7 days30 days90 days
Stars gained+7+11+90
Per day111
Forks gained+1+3+10

lab2d gained 11 stars in the last 30 days, about 1 a day, and now has 443. It is about 6 years old and has averaged roughly 74 stars a year. It ranks #381 among C++ repositories and #5,224 across all languages on GitHubRepo.

Trending Record

lab2d has maintained a continuous presence across global trending indexes, peaking at #4381. Below is the 30-day activity profile:

💡 Overview

lab2d is an open-source project written in C++: A customisable 2D platform for agent-based AI research.

Engineered for speed, consistency, and developer ease, it solves common hurdles in artificial-intelligence, deep-learning, machine-learning. 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 C++ 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/google-deepmind/lab2d.git
cd lab2d

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

C++20 compliant compiler (GCC 11+, Clang 13+, MSVC)

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

lab2d coordinates its core functionality through a modular C++ 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 lab2d into C++ 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 Apache-2.0 license.

🚀 Getting Started

1

Install lab2d using your package manager: `git clone https://github.com/google-deepmind/lab2d.git`

2

Initialize your project workspace or configuration file for lab2d.

3

Import lab2d into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `lab2d --help` to verify successful setup.

👍 Strengths

Active community backing with 443 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 license.
Built in C++ 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 C++ 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.

⇄ Alternatives & Direct Competitors

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👥 Who Should Use This

Developers and engineering teams building with C++, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

google-deepmind/lab2d is currently ranked #5,224 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#5,219 NethermindEth/juno Go ★ 444 Compare ↗
#5,219 google/go-attestation Go ★ 444 Compare ↗
#5,219 szellmann/visionaray C++ ★ 444 Compare ↗
#5,219 ThomasHabets/arping C ★ 444 Compare ↗
#5,219 relevance/tarantula Ruby ★ 444 Compare ↗
#5,224 google-deepmind/lab2d This Project C++ ★ 443
#5,224 marcandre/backports Ruby ★ 443 Compare ↗
#5,224 awcodes/filament-curator PHP ★ 443 Compare ↗
#5,227 h3pdesign/Neon-Vision-Editor Swift ★ 442 Compare ↗
#5,227 yarpc/yarpc-go Go ★ 442 Compare ↗
#5,229 lugia19/Claude-Usage-Extension JavaScript ★ 441 Compare ↗

Frequently Asked Questions

What does lab2d do? +

A customisable 2D platform for agent-based AI research

What language is lab2d written in? +

The primary language is C++. Topics include: artificial-intelligence, deep-learning, machine-learning.

Is lab2d actively maintained? +

Yes, the last recorded push was on Sep 29, 2026 with 4 open issues being tracked.

How many stars does lab2d have? +

lab2d has 443 stars and 59 forks on GitHub.

How does lab2d rank among GitHub repositories? +

With 443 stars, google-deepmind/lab2d is ranked #5,224 globally across all repositories tracked on GitHubRepo and #381 among C++ projects.

What license is lab2d distributed under? +

The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.

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