GeNN is a GPU-enhanced Neuronal Network simulation environment based on code generation for Nvidia CUDA and AMD HIP.
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+10
STARS · LAST 30 DAYS
1
PER DAY
#627
MOST-STARRED C++
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
genn gained 10 stars in the last 30 days, about 1 a day, and now has 283. It is about 12 years old and has averaged roughly 24 stars a year. It ranks #627 among C++ repositories and #8,239 across all languages on GitHubRepo.
Trending Record
2
DAYS ON TRENDING
#7878
BEST RANK
Oct 5, 2026
FIRST APPEARANCE
Active
STATUS TODAY
genn has maintained a continuous presence across global trending indexes, peaking at #7878. Below is the 30-day activity profile:
💡 Overview
genn is an open-source project written in C++: GeNN is a GPU-enhanced Neuronal Network simulation environment based on code generation for Nvidia CUDA and AMD HIP.
Engineered for speed, consistency, and developer ease, it solves common hurdles in computational-neuroscience, hacktoberfest, nvidia-cuda. 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 C++ 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
$ git clone https://github.com/genn-team/genn.git
cd genn⚙ 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
genn 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 genn 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 LGPL-2.1 license.
🚀 Getting Started
Install genn using your package manager: `git clone https://github.com/genn-team/genn.git`
Initialize your project workspace or configuration file for genn.
Import genn into your codebase or invoke it directly from your terminal.
Execute your test suite or run `genn --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 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
genn-team/genn is currently ranked #8,239 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #8,223 | krishna-swaroop/KiCAD-Prism | JavaScript | ★ 284 | Compare ↗ |
| #8,223 | eden-emulator/mirror | C++ | ★ 284 | Compare ↗ |
| #8,223 | Recurse-Labs/recurse | Rust | ★ 284 | Compare ↗ |
| #8,223 | Code-Amadeus/Amadeus | Python | ★ 284 | Compare ↗ |
| #8,223 | CorgiCorner/bisibility | TypeScript | ★ 284 | Compare ↗ |
| #8,239 | genn-team/genn This Project | C++ | ★ 283 | |
| #8,239 | mojombo/primer | JavaScript | ★ 283 | Compare ↗ |
| #8,239 | sukria/Backup-Manager | Shell | ★ 283 | Compare ↗ |
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Frequently Asked Questions
What does genn do? +
GeNN is a GPU-enhanced Neuronal Network simulation environment based on code generation for Nvidia CUDA and AMD HIP.
What language is genn written in? +
The primary language is C++. Topics include: computational-neuroscience, hacktoberfest, nvidia-cuda, simulation, spiking-neural-networks.
Is genn actively maintained? +
Yes, the last recorded push was on Oct 5, 2026 with 45 open issues being tracked.
How many stars does genn have? +
genn has 283 stars and 75 forks on GitHub.
How does genn rank among GitHub repositories? +
With 283 stars, genn-team/genn is ranked #8,239 globally across all repositories tracked on GitHubRepo and #627 among C++ projects.
What license is genn distributed under? +
The repository reports a LGPL-2.1 license. Always verify the repository LICENSE file for legal terms.
