MeshLib is an advanced software development library kit designed for 3D data manipulation, processing, and analysis. It offers a robust set of tools for meshes, point clouds and voxels, as well as conversion between various 3D data formats, making it ideal for industries such as engineering, manufacturing, and medical imaging.

Yes, comprehensive documentation is available for MeshLib, including tutorials, API references, and detailed guides to help users navigate its features and capabilities. You can access it on our GitHub page.

Yes, MeshLib is available for free and open-source on GitHub. Anyone can try and install MeshLib by accessing the open code here: GitHub – MeshLib. For commercial use, a license is required to build products based on MeshLib.

MeshLib provides a wide range of algorithms, including mesh repair and optimization, decimation, freeform and Laplacian deformation, 3D Boolean operations, distance and collision detection, and point cloud processing. For a complete list of available alorithms, visit our features page.

MeshLib supports a wide range of 3D data formats, including STL, OBJ, PLY, DICOM and others as well as point cloud formats such as PLY, XYZ, and E57. This ensures compatibility with various industry-standard tools and workflows.

Yes, MeshLib is highly extensible and can be integrated into custom applications. It provides an API for deep control over mesh manipulation and analysis, making it suitable for building specialized solutions for specific workflows.

MeshLib is primarily designed for use with C++ but also offers support for Python and C# through its API, enabling users to leverage its powerful functionalities in various programming environments.