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kigster avatar

kigster/arli

0
View on GitHub↗
30 stars·1 fork·Ruby·MIT·7 views

Arli

Arli is the command line tool, that's both — the Arduino Library manager that's decoupled from any IDE, as well a project generator based on "arduino-cmake". By coupling dependency management with CMake-based build system, Arli provides an easy way to package, share, and distribute complex Arduino projects.

Features

  • Robotics - CLI tool for managing Arduino libraries.

Star history

Star history chart for kigster/arliStar history chart for kigster/arli

How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.

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Frequently asked questions

What does kigster/arli do?

Arli is the command line tool, that's both — the Arduino Library manager that's decoupled from any IDE, as well a project generator based on "arduino-cmake". By coupling dependency management with CMake-based build system, Arli provides an easy way to package, share, and distribute complex Arduino projects.

What are the main features of kigster/arli?

The main features of kigster/arli are: Robotics.

What are some open-source alternatives to kigster/arli?

Open-source alternatives to kigster/arli include: artivis/manif — A small C++11 header-only library for Lie theory. pointcloudlibrary/pcl — The Point Cloud Library is a collection of C++ algorithms designed for filtering, registering, and analyzing…

Open-source alternatives to Arli

Similar open-source projects, ranked by how many features they share with Arli.
  • artivis/manifartivis avatar

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  • pointcloudlibrary/pclPointCloudLibrary avatar

    PointCloudLibrary/pcl

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    The Point Cloud Library is a collection of C++ algorithms designed for filtering, registering, and analyzing large-scale 3D spatial datasets. It provides a framework for 3D point cloud processing, incorporating tools for spatial data filtering and geometric feature estimation. The library includes specialized systems for aligning multiple spatial datasets into a single unified coordinate system and a rendering engine for the visual inspection and analysis of processed point cloud data. It also features tools for calculating spatial descriptors to identify structural patterns and shapes within

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