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ruvnet/ruv-FANN

A blazing-fast, memory-safe neural network library for Rust that brings the power of FANN to the modern world.

★388STARS
⑂108FORKS
!39ISSUES
🏆#14,050GLOBAL RANK
🔥4DAYS TRENDING
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⚡ Executive Summary & Quick Facts

Authoritative Source

ruv-FANN is ruv-FANN is an open-source project written in Rust: A blazing-fast, memory-safe neural network library for Rust that brings the power of FANN to the modern world..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), ruvnet/ruv-FANN has accumulated 388 GitHub stars and 108 forks. It is written in Rust, licensed under MIT, and ranks #14,050 globally. It is actively maintained with the latest commit recorded on Nov 9, 2026.”
Repository ruvnet/ruv-FANN ↗
Primary Category agent orchestration
Language & Stack Rust
Software License MIT
Community Traction ★ 388 stars · ⑂ 108 forks · #14,050 globally
Maintenance ● Active (Last commit: Nov 9, 2026) · 39 open issues
Target Audience Developers and engineering teams building with Rust, seeking reliable, tested, and actively maintained tooling for production workloads.

🛡️ Repository Maintenance & Health Audit (2026)

Health Score: 93/100 · Grade A+
✅
Is ruv-FANN actively maintained in 2026?
Verdict: Actively Maintained & Highly Recommended

Yes, ruv-FANN is actively maintained. Continuous telemetry recorded the last code commit on Nov 9, 2026 (3 days ago). Supported by 388 stars and 108 community forks, this repository holds a calculated health index of 93/100, reflecting very active (commits within last 14 days) and healthy issue cadence.

Commit Recency
Nov 9, 2026
3 days since last push
Issue Backlog
39 Open Issues
Healthy Issue Cadence
Community Backing
108 Forks
388 Stars Recorded
Software License
MIT
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for ruvnet/ruv-FANN
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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#1,355

MOST-STARRED Rust

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

ruv-FANN gained 10 stars in the last 30 days, about 1 a day, and now has 388. It is about 1 year old and has averaged roughly 388 stars a year. It ranks #1,355 among Rust repositories and #14,050 across all languages on GitHubRepo.

Trending Record

ruv-FANN has maintained a continuous presence across global trending indexes, peaking at #15367. Below is the 30-day activity profile:

💡 Overview

ruv-FANN is an open-source project written in Rust: A blazing-fast, memory-safe neural network library for Rust that brings the power of FANN to the modern world.

Engineered for speed, consistency, and developer ease, it solves common hurdles in agent-orchestration, ai, cuda. 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 Rust 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
$ cargo install ruv-FANN

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Rust toolchain (rustc / cargo >= 1.70)

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

ruv-FANN coordinates its core functionality through a modular Rust 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 ruv-FANN.

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 ruv-FANN using your package manager: `cargo install ruv-FANN`

2

Initialize your project workspace or configuration file for ruv-FANN.

3

Import ruv-FANN into your codebase or invoke it directly from your terminal.

4

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

👍 Strengths

Active community backing with 388 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in Rust 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 Rust 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 Rust, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

ruvnet/ruv-FANN is currently ranked #14,050 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#14,027 PowerBeef/Vocello Swift ★ 389 Compare ↗
#14,027 devswha/patina JavaScript ★ 389 Compare ↗
#14,027 delexw/claude-code-trace Rust ★ 389 Compare ↗
#14,027 SII-Holos/synergy TypeScript ★ 389 Compare ↗
#14,027 WenyuChiou/ai-research-skills Python ★ 389 Compare ↗
#14,050 ruvnet/ruv-FANN This Project Rust ★ 388
#14,050 kupferlauncher/kupfer Python ★ 388 Compare ↗
#14,050 rhavyn/norbert Scala ★ 388 Compare ↗
#14,050 petermichaux/bootstrap-scheme C ★ 388 Compare ↗
#14,050 creationix/nstore JavaScript ★ 388 Compare ↗
#14,050 BaseSecrete/rorvswild Ruby ★ 388 Compare ↗
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Frequently Asked Questions

What does ruv-FANN do? +

A blazing-fast, memory-safe neural network library for Rust that brings the power of FANN to the modern world.

Is ruv-FANN actively maintained in 2026? +

Yes, ruv-FANN is actively maintained. The latest code push was recorded on Nov 9, 2026 (3 days ago). It holds a calculated Maintenance Health Score of 93/100 (A+ rating) with 388 stars and 39 open issues.

What language is ruv-FANN written in? +

The primary language is Rust. Topics include: agent-orchestration, ai, cuda, gpu, machine-learning.

How many stars does ruv-FANN have? +

ruv-FANN has 388 stars and 108 forks on GitHub.

How does ruv-FANN rank among GitHub repositories? +

With 388 stars, ruvnet/ruv-FANN is ranked #14,050 globally across all repositories tracked on GitHubRepo and #1,355 among Rust projects.

What license is ruv-FANN distributed under? +

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

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