rsasaki0109/lidar_slam_ros2
ROS 2 LiDAR SLAM for pointcloud-map authoring, benchmarking, and Autoware-compatible map workflows.
⚡ Executive Summary & Quick Facts
Authoritative Sourcelidar_slam_ros2 is lidar_slam_ros2 is an open-source project written in Python: ROS 2 LiDAR SLAM for pointcloud-map authoring, benchmarking, and Autoware-compatible map workflows..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), rsasaki0109/lidar_slam_ros2 has accumulated 859 GitHub stars and 174 forks. It is written in Python, licensed under BSD-2-Clause, and ranks #8,315 globally. It is actively maintained with the latest commit recorded on Oct 15, 2026.”
| Repository | rsasaki0109/lidar_slam_ros2 ↗ |
|---|---|
| Primary Category | autoware compatible |
| Language & Stack | Python |
| Software License | BSD-2-Clause |
| Community Traction | ★ 859 stars · ⑂ 174 forks · #8,315 globally |
| Maintenance | ● Active (Last commit: Oct 15, 2026) · 29 open issues |
| Target Audience | Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads. |
🛡️ Repository Maintenance & Health Audit (2026)
Health Score: 92/100 · Grade AYes, lidar_slam_ros2 is actively maintained. Continuous telemetry recorded the last code commit on Oct 15, 2026 (18 days ago). Supported by 859 stars and 174 community forks, this repository holds a calculated health index of 92/100, reflecting regular maintenance (18 days ago) and healthy issue cadence.
Star History
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+9
STARS · LAST 30 DAYS
1
PER DAY
#1,181
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +0 | +9 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +0 | +0 | +10 |
lidar_slam_ros2 gained 9 stars in the last 30 days, about 1 a day, and now has 859. It is about 7 years old and has averaged roughly 123 stars a year. It ranks #1,181 among Python repositories and #8,315 across all languages on GitHubRepo.
Trending Record
30
DAYS ON TRENDING
#2445
BEST RANK
Oct 1, 2026
FIRST APPEARANCE
Active
STATUS TODAY
lidar_slam_ros2 has maintained a continuous presence across global trending indexes, peaking at #2445. Below is the 30-day activity profile:
💡 Overview
lidar_slam_ros2 is an open-source project written in Python: ROS 2 LiDAR SLAM for pointcloud-map authoring, benchmarking, and Autoware-compatible map workflows.
Engineered for speed, consistency, and developer ease, it solves common hurdles in autoware-compatible, benchmarking, gnss. 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 Python 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
$ pip install lidar_slam_ros2⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
lidar_slam_ros2 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 lidar_slam_ros2 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 BSD-2-Clause license.
🚀 Getting Started
Install lidar_slam_ros2 using your package manager: `pip install lidar_slam_ros2`
Initialize your project workspace or configuration file for lidar_slam_ros2.
Import lidar_slam_ros2 into your codebase or invoke it directly from your terminal.
Execute your test suite or run `lidar_slam_ros2 --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 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
rsasaki0109/lidar_slam_ros2 is currently ranked #8,315 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #8,307 | AgentWorkforce/relay | TypeScript | ★ 861 | Compare ↗ |
| #8,307 | stripe/link-cli | TypeScript | ★ 861 | Compare ↗ |
| #8,312 | rubocop/rubocop-rspec | Ruby | ★ 860 | Compare ↗ |
| #8,312 | microsoft/DirectXMesh | C++ | ★ 860 | Compare ↗ |
| #8,312 | openclaw/discrawl | Go | ★ 860 | Compare ↗ |
| #8,315 | rsasaki0109/lidar_slam_ros2 This Project | Python | ★ 859 | |
| #8,315 | groonga/groonga | C | ★ 859 | Compare ↗ |
| #8,315 | adafruit/RTClib | C++ | ★ 859 | Compare ↗ |
| #8,315 | ThrowTheSwitch/Ceedling | Ruby | ★ 859 | Compare ↗ |
| #8,315 | HabitRPG/habitica-ios | Swift | ★ 859 | Compare ↗ |
| #8,315 | patternfly/patternfly-react | TypeScript | ★ 859 | Compare ↗ |
Frequently Asked Questions
What does lidar_slam_ros2 do? +
ROS 2 LiDAR SLAM for pointcloud-map authoring, benchmarking, and Autoware-compatible map workflows.
Is lidar_slam_ros2 actively maintained in 2026? +
Yes, lidar_slam_ros2 is actively maintained. The latest code push was recorded on Oct 15, 2026 (18 days ago). It holds a calculated Maintenance Health Score of 92/100 (A rating) with 859 stars and 29 open issues.
What language is lidar_slam_ros2 written in? +
The primary language is Python. Topics include: autoware-compatible, benchmarking, gnss, lidar, lidar-slam.
How many stars does lidar_slam_ros2 have? +
lidar_slam_ros2 has 859 stars and 174 forks on GitHub.
How does lidar_slam_ros2 rank among GitHub repositories? +
With 859 stars, rsasaki0109/lidar_slam_ros2 is ranked #8,315 globally across all repositories tracked on GitHubRepo and #1,181 among Python projects.
What license is lidar_slam_ros2 distributed under? +
The repository reports a BSD-2-Clause license. Always verify the repository LICENSE file for legal terms.
