Skip to content

Software

MOLA

By The MOLA SLAM framework, Spain (checked on github.com/MOLAorg (opens in a new tab)), from github.com/MOLAorg/mola (opens in a new tab)

  • Navigation and mapping
  • Framework
  • GPL-3.0-only AND BSD-3-Clause

MOLA is a modular C++ and ROS 2 framework for robot localization and SLAM, built around configurable YAML pipelines for LiDAR odometry and LiDAR-inertial odometry.

Facts

GitHub stars
1,054read on 6 Nov 2026
Last update
6 Nov 2026Newest commit on develop
Maintenance
Activea commit in the last 90 days
Difficulty
Advanced

Checked on GitHub on 6 Nov 2026.

Licenses

Code
GPL-3.0-only (opens in a new tab) AND BSD-3-Clause (opens in a new tab)

Read by Robotheca from LICENSE (opens in a new tab) at commit dc19fba (opens in a new tab), on 6 Nov 2026. A license text Robotheca's reader does not know: a person at Robotheca set it on 9 Nov 2026.

Commercial use
Yes

Copyleft: Modified source must be published.

Overview

What it does: Robotheca's summary

  • Provides LiDAR Odometry and LiDAR-Inertial Odometry, plus geo-referenced maps and sensor fusion.
  • Pipelines are set in YAML, so sensors, filters and map layers can change without recompiling.
  • Includes a .mm metric map toolset: viewer, LAS/PLY/TXT export, filtering and georeferencing tools.
  • Runs on ROS 2 (Humble, Jazzy, Kilted, Rolling) and can also be used from standalone pure C++.

Written by Robotheca from the project's README (opens in a new tab) at commit 4d52ce9, not by its creator.

The README

Read the README on GitHub (opens in a new tab)

Files and versions

Facts read at commit dc19fba

Robotheca read the repository at two versions: the summary at 4d52ce9 and the facts at dc19fba (read on 6 Nov 2026).

Robotheca never hosts the code: each link goes to the creator's own page.

Use it

How to install it, in the creator's words: The project's website (opens in a new tab)

Robotheca doesn't review code. Read it before running it.

Robotheca lists software as a reference: nothing is hosted or run here, and every fact links to where it was read.