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JacopoPan
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JacopoPan/aerial-autonomy-stack

An open harness to simulate and deploy PX4/ArduPilot/Betaflight perception-based drone swarms with ROS2, YOLO, NVIDIA Jetson

C++ ◇ ardupilot MIT
★647STARS
⑂109FORKS
!6ISSUES
🏆#9,192GLOBAL RANK
🔥2DAYS TRENDING
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⚡ Executive Summary & Quick Facts

Authoritative Source

aerial-autonomy-stack is aerial-autonomy-stack is an open-source project written in C++: An open harness to simulate and deploy PX4/ArduPilot/Betaflight perception-based drone swarms with ROS2, YOLO, NVIDIA Jetson..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of October 2026), JacopoPan/aerial-autonomy-stack has accumulated 647 GitHub stars and 109 forks. It is written in C++, licensed under MIT, and ranks #9,192 globally. It is actively maintained with the latest commit recorded on Oct 28, 2026.”
Repository JacopoPan/aerial-autonomy-stack ↗
Primary Category ardupilot
Language & Stack C++
Software License MIT
Community Traction ★ 647 stars · ⑂ 109 forks · #9,192 globally
Maintenance ● Active (Last commit: Oct 28, 2026) · 6 open issues
Target Audience Developers and engineering teams building with C++, seeking reliable, tested, and actively maintained tooling for production workloads.

🛡️ Repository Maintenance & Health Audit (2026)

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

Yes, aerial-autonomy-stack is actively maintained. Continuous telemetry recorded the last code commit on Oct 28, 2026 (1 days ago). Supported by 647 stars and 109 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
Oct 28, 2026
1 days since last push
Issue Backlog
6 Open Issues
Healthy Issue Cadence
Community Backing
109 Forks
647 Stars Recorded
Software License
MIT
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for JacopoPan/aerial-autonomy-stack
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Momentum

+16

STARS · LAST 30 DAYS

1

PER DAY

#730

MOST-STARRED C++

Window7 days30 days90 days
Stars gained+7+16+90
Per day111
Forks gained+1+3+10

aerial-autonomy-stack gained 16 stars in the last 30 days, about 1 a day, and now has 647. It is about 1 year old and has averaged roughly 647 stars a year. It ranks #730 among C++ repositories and #9,192 across all languages on GitHubRepo.

Trending Record

aerial-autonomy-stack has maintained a continuous presence across global trending indexes, peaking at #10891. Below is the 30-day activity profile:

💡 Overview

aerial-autonomy-stack is an open-source project written in C++: An open harness to simulate and deploy PX4/ArduPilot/Betaflight perception-based drone swarms with ROS2, YOLO, NVIDIA Jetson.

Engineered for speed, consistency, and developer ease, it solves common hurdles in ardupilot, betaflight, drone. 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/JacopoPan/aerial-autonomy-stack.git
cd aerial-autonomy-stack

⚙ 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

aerial-autonomy-stack 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

Autonomous AI Agents

Orchestrate intelligent workflows and tool-calling routines with aerial-autonomy-stack.

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 aerial-autonomy-stack using your package manager: `git clone https://github.com/JacopoPan/aerial-autonomy-stack.git`

2

Initialize your project workspace or configuration file for aerial-autonomy-stack.

3

Import aerial-autonomy-stack into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `aerial-autonomy-stack --help` to verify successful setup.

👍 Strengths

Active community backing with 647 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT 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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tensorflow/tensorflow ★ 201.3K C++

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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

JacopoPan/aerial-autonomy-stack is currently ranked #9,192 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#9,183 terry90/soulbeet Rust ★ 649 Compare ↗
#9,188 ramosbugs/openidconnect-rs Rust ★ 648 Compare ↗
#9,188 pion/mediadevices Go ★ 648 Compare ↗
#9,188 garyttierney/me3 Rust ★ 648 Compare ↗
#9,188 thsnkhn/harbor Swift ★ 648 Compare ↗
#9,192 JacopoPan/aerial-autonomy-stack This Project C++ ★ 647
#9,192 apache/subversion C ★ 647 Compare ↗
#9,192 sparsemat/sprs Rust ★ 647 Compare ↗
#9,192 smallnest/ringbuffer Go ★ 647 Compare ↗
#9,192 surrealdb/surrealkv Rust ★ 647 Compare ↗
#9,192 google/osv-scalibr Go ★ 647 Compare ↗
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Frequently Asked Questions

What does aerial-autonomy-stack do? +

An open harness to simulate and deploy PX4/ArduPilot/Betaflight perception-based drone swarms with ROS2, YOLO, NVIDIA Jetson

Is aerial-autonomy-stack actively maintained in 2026? +

Yes, aerial-autonomy-stack is actively maintained. The latest code push was recorded on Oct 28, 2026 (1 days ago). It holds a calculated Maintenance Health Score of 93/100 (A+ rating) with 647 stars and 6 open issues.

What language is aerial-autonomy-stack written in? +

The primary language is C++. Topics include: ardupilot, betaflight, drone, fixed-wing, gazebo.

How many stars does aerial-autonomy-stack have? +

aerial-autonomy-stack has 647 stars and 109 forks on GitHub.

How does aerial-autonomy-stack rank among GitHub repositories? +

With 647 stars, JacopoPan/aerial-autonomy-stack is ranked #9,192 globally across all repositories tracked on GitHubRepo and #730 among C++ projects.

What license is aerial-autonomy-stack distributed under? +

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

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