# Ly0n/awesome-robotic-tooling

Tooling for professional robotic development in C++ and Python with a touch of ROS, autonomous driving and aerospace.

Repository: https://github.com/Ly0n/awesome-robotic-tooling
Canonical: https://ross.abutalabs.com/products/awesome-robotic-tooling
License: CC0-1.0
License Family: permissive
Topics: ros, robotics, python, cplusplus, ros2, robot, awesome-list, awesome, slam, machine-learning, point-cloud, cpp, self-driving-car, autonomous-driving, aerospace, robotic, automotive, lidar, artificial-intelligence, mapping
Last push: 2023-11-20T07:13:29+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2505, "days_push": 1017, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3883, forks 554 (observed 2026-08-28T04:08:28.166895+00:00)

## What it is
A curated awesome-list of open-source tooling for professional robotics development in C++ and Python, covering ROS/ROS2, autonomous driving, and aerospace. It catalogs tools across simulation, sensor processing, SLAM, planning, and development workflows.

## Use cases
- find open-source robotics tools for C++ and Python
- discover SLAM and lidar processing libraries
- learn which ROS2 frameworks exist for autonomous driving
- find simulation tools for robot development
- locate point cloud and sensor processing software
- find robotics development environment and CI tooling
- explore aerospace and automotive robotics software

## When to choose
- you are starting a professional robotics project and want a survey of available tools
- you work with ROS, SLAM, lidar, or autonomous driving stacks
- you want curated, categorized links rather than searching from scratch

## When to avoid
- you need a runnable library or framework rather than a list of links
- you need beginner tutorials rather than professional tooling references
- you need guaranteed up-to-date entries, as the list is in maintenance mode

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: developer-tools, simulation, machine-learning, computer-vision, documentation
- domain: robotics, autonomous-vehicles, awesome-lists, developer-tools, simulation
- platform: cpp, python
- tags: awesome-list, ros, ros2, slam, lidar, autonomous-driving, aerospace, point-cloud, curated-list, linux

## Member repositories
- Ly0n/awesome-robotic-tooling (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:28.166895+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:25:41.952276+00:00, confidence not recorded.
  - readme: https://github.com/Ly0n/awesome-robotic-tooling (fetched 2026-08-28T04:08:28.166895+00:00, sha 5c4f1fcf7266)
- Data as of 2026-08-30T08:39:29.467469+00:00.