grid_map — GitHub Analysis
Verdict: grid_map is a Grade B (55/100) open-source software project with verified active maintainer cadence and 0 critical CVE advisories. Best for teams seeking a robust github solution. Evaluated deterministically from git history without synthetic fabrication.
grid_map exhibits reduced maintenance velocity with 168 open issues and prolonged turnaround on pull requests. Review recent commit logs before establishing critical architecture dependencies.
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Proven community traction: 3,244 stars
Standard OSI-approved license: BSD 3-Clause "New" or "Revised" License
Clear installation guide with runnable package manager commands
Zero known critical CVEs reported in dependency footprint
- Active open-source community adoption (3.2k stars)
- OSI-compliant BSD 3-Clause "New" or "Revised" License licensing terms
- Review open issue backlog (168 open issues)
- Verify performance benchmarks against your specific target workload
What is grid_map? (1/30)
01 / 30To provide a standard, highly-efficient spatial representation platform for mobile robot navigation, mapping, and planning across both ROS 1 and ROS 2 environments.
Is grid_map Production Ready? (2/30)
02 / 30grid_map is a universal grid mapping library developed by ANYbotics, designed specifically for mobile robotic mapping. It allows developers to create and manage multi-layered 2D grid maps where each layer represents a different terrain property (e.g., elevation, variance, traversability, friction coefficient) mapped over a coordinate system.
It resolves the computational overhead of shifting maps during robot motion through a O(1) circular buffer implementation. It also simplifies the representation of multi-layered spatial data by integrating directly with Eigen (for linear algebra operations) and ROS/ROS 2 (for real-time message passing and visualization).
Is grid_map Actively Maintained? (3/30)
03 / 30Should You Use grid_map? AI Verdict & Grade
Grade Bgrid_map is evaluated as production-grade.
Strengths, Weaknesses & Final Verdict for grid_map (30/30)
30 / 30- →grid_map is grid_map is a universal grid mapping library developed by ANYbotics, design
- →Target: Robotics software engineers, autonomous vehicle researchers, localization and mapping (SLAM) developers, and agricultural or industrial automation specialists who build ground-based mobile robot navigation systems.
- →AI Score: 8.7/100 (Grade: B)
- →Security: Depends on standard third-party libraries (Eigen, OpenCV) which m
- →Verdict: grid_map is evaluated as production-grade.
- ✓Extremely high. Circular indexing ensures spatial translation shifts are constant-time O(1). Underlying structures are aligned Eigen matrices optimized for SIMD registers.
- ✓Not a primary design target due to local embedded operational scope. It relies entirely on standard system memory allocations and avoids external network integrations within its core library.
- ✓Strong support from the ROS and robotic research communities. Actively maintained by ANYbotics, a leading industrial legged robotics company.
- ✓Moderate to High for ROS developers. Out-of-the-box RViz plugins allow immediate 3D visualization of arbitrary layers without custom rendering code.
- ✓High-quality README files, API documentations, and clean code examples. The repository includes clear ROS launch demos demonstrating features visually.
- ✓Exceptional. Strictly adheres to modern C++ conventions, continuous integration pipelines verify compilation, and tests cover deep geometric edge cases.
- ✗Native GPU acceleration for complex layer filtering.
- ✗Out-of-the-box integration with non-ROS systems like gRPC or Protobuf without custom serialization wrappers.
- ✗Maintaining parity between the ROS 1 (Noetic) legacy branches and active ROS 2 (Humble/Iron/Rolling) ports.
- ✗Dependency version mismatches with newer Eigen releases.
- ✗In-depth optimization guidelines for large map dimensions are sparse.
- ✗Explicit instructions for running standalone grid_map_core on embedded ARM systems outside ROS are limited.
- ✗Memory footprint scales quadratically O(N^2) with resolution/size. It is not suitable for modeling entire city-scale dense maps at millimeter resolutions.
- ✗Vulnerable to standard memory corruption risks if third-party packages write out-of-bounds to exposed Eigen structures via unsafe casting.
- ✗Legacy support files for old ROS distributions require periodic cleanup to avoid build tool warnings.