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zhan994/AgriLiRa4D

AgriLiRa4D: A Multi-Sensor UAV Dataset for Robust SLAM in Challenging Agricultural Fields

Python ◇ developer-tools Apache-2.0
★149STARS
⑂8FORKS
!0ISSUES
🏆#15,340GLOBAL RANK
🔥1DAYS TRENDING
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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#1,941

MOST-STARRED Python

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

AgriLiRa4D gained 10 stars in the last 30 days, about 1 a day, and now has 149. It is about 1 year old and has averaged roughly 149 stars a year. It ranks #1,941 among Python repositories and #15,340 across all languages on GitHubRepo.

Trending Record

AgriLiRa4D has maintained a continuous presence across global trending indexes, peaking at #14573. Below is the 30-day activity profile:

💡 Overview

AgriLiRa4D is an open-source project written in Python: AgriLiRa4D: A Multi-Sensor UAV Dataset for Robust SLAM in Challenging Agricultural Fields.

Engineered for speed, consistency, and developer ease, it solves common hurdles in Python. 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 AgriLiRa4D

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

AgriLiRa4D 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 AgriLiRa4D 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 Apache-2.0 license.

🚀 Getting Started

1

Install AgriLiRa4D using your package manager: `pip install AgriLiRa4D`

2

Initialize your project workspace or configuration file for AgriLiRa4D.

3

Import AgriLiRa4D into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `AgriLiRa4D --help` to verify successful setup.

👍 Strengths

Active community backing with 149 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 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

zhan994/AgriLiRa4D is currently ranked #15,340 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#15,293 shaftoe/awesome-pi-coding-agent TypeScript ★ 150 Compare ↗
#15,293 camilleroux/genart-skill JavaScript ★ 150 Compare ↗
#15,293 docker/sandbox-kit-spec Go ★ 150 Compare ↗
#15,293 Inferact/tpu-megakernels Python ★ 150 Compare ↗
#15,293 ludovic111/horizon Rust ★ 150 Compare ↗
#15,340 zhan994/AgriLiRa4D This Project Python ★ 149
#15,340 planet-argonbot/flash-message-conductor Ruby ★ 149 Compare ↗
#15,340 briantrice/slate-language C++ ★ 149 Compare ↗
#15,340 halhen/statnot Python ★ 149 Compare ↗
#15,340 nagaozen/asp-xtreme-evolution HTML ★ 149 Compare ↗
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Frequently Asked Questions

What does AgriLiRa4D do? +

AgriLiRa4D: A Multi-Sensor UAV Dataset for Robust SLAM in Challenging Agricultural Fields

What language is AgriLiRa4D written in? +

The primary language is Python. Topics include: software.

Is AgriLiRa4D actively maintained? +

Yes, the last recorded push was on Oct 18, 2026 with 0 open issues being tracked.

How many stars does AgriLiRa4D have? +

AgriLiRa4D has 149 stars and 8 forks on GitHub.

How does AgriLiRa4D rank among GitHub repositories? +

With 149 stars, zhan994/AgriLiRa4D is ranked #15,340 globally across all repositories tracked on GitHubRepo and #1,941 among Python projects.

What license is AgriLiRa4D distributed under? +

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

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