MeshLib — an SDK that supercharges your 3D data processing efficiency

Geometry algorithms engineered to revolutionize. We help software engineers process, repair, measure and optimize 3D data with next-generation algorithms, reducing development time and costs — mesh boolean, mesh repair, decimation, offset, point cloud triangulation, ICP registration and voxel processing, in C++, C, C#, Python, JavaScript, Rust and Java.

▶ Try it live · Website · Documentation · Quick start · Examples · Benchmarks · Discussions

Install

pip install meshlib                  # Python
dotnet add package MeshLib           # C#
npm install @meshinspector/meshlib   # JavaScript / WebAssembly
cargo add meshlib@<version>          # Rust, the exact version from crates.io

For C++ and C, see the Installation Guide; for Rust, the Rust setup guide; for Java, com.meshinspector:meshlib from Maven Central, see the Java setup guide.

60 seconds to your first result

Turn a scan into a triangle mesh:

from meshlib import mrmeshpy as mm

pc   = mm.loadPoints("scan.ply")           # point cloud from any scanner
mesh = mm.triangulatePointCloud(pc)        # point cloud -> triangle mesh
mm.saveMesh(mesh, "model.stl")

Boolean operations that just work, with no non-manifold surprises:

from meshlib import mrmeshpy as mm

a = mm.makeUVSphere(1.0, 64, 64)
b = mm.copyMesh(a)
b.transform(mm.AffineXf3f.translation(mm.Vector3f(0.7, 0.0, 0.0)))

res = mm.boolean(a, b, mm.BooleanOperation.Union)
if not res.valid():
    raise RuntimeError(res.errorString)
mm.saveMesh(res.mesh, "out_boolean.stl")

Heal a broken scan into a watertight, printable model. Voxel-based repair rebuilds the surface through a signed distance field, so holes, self-intersections and non-manifold edges disappear in a single pass:

from meshlib import mrmeshpy as mm

mesh = mm.loadMesh("broken.stl")

params = mm.GeneralOffsetParameters()
params.voxelSize = mesh.computeBoundingBox().diagonal() / 200
params.signDetectionMode = mm.SignDetectionMode.HoleWindingRule
params.closeHolesInHoleWindingNumber = True

fixed = mm.generalOffsetMesh(mm.MeshPart(mesh), 0.0, params)   # watertight
mm.saveMesh(fixed, "fixed.stl")

Voxel repair resamples the surface, so the result is denser than the input — add decimateMesh to bring the triangle count back down within a tolerance you set. Lighter, topological repair (fixMeshDegeneracies, fillHole, fixSelfIntersections) is available when you need to preserve the original vertices.

More in Tutorials and the examples/ folder — including complete, runnable programs for repair, boolean, offset, ICP and triangulation in C++, C, C#, Python and JavaScript, and for boolean, decimation and loading/saving in Rust and Java.

What MeshLib does

3D Boolean	Fast, exact mesh booleans (union, intersection, difference) plus a voxel-based mode for messy input.
Mesh repair	Fix self-intersections, degeneracies, tunnels, multiple edges and undercuts; fill and stitch holes on flat and curved surfaces.
Point cloud to mesh	Triangulation with accurate normal estimation, uniform and grid sampling, outlier removal.
Simplification	Decimation within a set tolerance, remeshing and subdivision that keep the details you care about.
Offset	Shell, partial and weighted offsets for 3D printing, machining and hollowing.
Registration	Point-to-point and point-to-plane ICP, plus global registration of multiple scans.
Distance & SDF	Mesh to signed distance field and back by marching cubes, distance maps, iso-lines, projection and ray intersection.
Voxels & CT	DICOM import/export, voxel-grid processing and 3D volume rendering.
Deformation	Laplacian, freeform and relaxation smoothing, noise reduction.
Segmentation	Semi-automatic mesh segmentation guided by a curvature metric; graph-cut segmentation of voxel volumes.
Collision detection	Exact and precise self- and pairwise intersection tests.
Viewer	An embeddable OpenGL/ImGui viewer with UI components, or run the algorithms fully headless.
File formats	Meshes, point clouds, CT scans, polylines, distance maps and G-code — full list.

Full feature reference: meshlib.io/features.

Why teams pick MeshLib

Measured, not claimed. Our boolean benchmark compares MeshLib across nine libraries on 2M-triangle models — method, data and input meshes. The simplification benchmark does the same for decimation across 11 libraries. Both are public and reproducible.

Manifold by construction. Meshes use a half-edge data structure, in which most non-manifold situations are simply not representable — a non-manifold edge, or a vertex with two closed rings of triangles around it. Broken topology is caught where it happens, not three pipeline stages later.

One engine, seven languages. A native C++ core with official APIs for C, C#, Python, JavaScript/WebAssembly, Rust and Java. The same algorithms, the same results — on the desktop, on a server, or in a browser tab.

Built for real workloads. Core algorithms are multithreaded; a CUDA module accelerates distance maps, signed distance fields, offsets and swept volumes on NVIDIA GPUs.

We use it ourselves. MeshInspector, our desktop and web application, and SmileInspector, our FDA-cleared clear-aligner platform, are both built entirely on this SDK, so it is exercised every day on real production data.

Supported, not abandoned. Backed by a full-time team with commercial support, regular releases and a responsive issue tracker.

Platforms

Windows · macOS · Linux (Ubuntu/Debian, Fedora/RHEL) · WebAssembly

Built with MeshLib

Project	Field	What it does
Polyga	3D scanning	PointKit scanning platform, built on MeshLib
Verisurf	Metrology	3D measurement, inspection and reverse engineering
Brius Technologies	Orthodontics	Customized lingual orthodontic appliances
Axial3D	Medical imaging	Scan-to-3D-model services for surgical planning
customed.ai	Medical devices	AI-driven patient-specific surgical instruments
Relu	Digital dentistry	AI segmentation for dental CAD workflows
spherene	Generative design	Adaptive density minimal surfaces for AM
ToffeeX	Generative design	Physics-driven design optimization
Enhatch	Medical devices	Intelligent surgery platform
CIMsystem	CAM / machining	CAD/CAM software for dental and industrial milling
3DONS	Digital dentistry	Dental treatment planning software
Henning Larsen	Architecture / AEC	Computational design and terrain modelling
MeshInspector	3D printing / QA	STL editor, viewer and mesh repair application
SmileInspector	Clear aligners	FDA-cleared aligner treatment planning platform

Shipping something built on MeshLib? Open a PR and add it here — we like showing what people build.

Getting started

1. Try the live demo — booleans, repair, decimation and ICP in the browser. No install, no sign-up.
2. Evaluate locally. pip install meshlib, then work through the tutorials. Free for non-commercial and educational use under our licence.
3. See it in an application. MeshInspector is the GUI built on MeshLib — desktop and web, 30-day trial.
4. Book a call. Integration guidance, architecture questions and commercial licensing tailored to your project.

Licence

MeshLib is source-available: read the code, fork it, and use it free for non-commercial and educational work. Commercial use requires a licence — see the full terms and the licence page.

Citing MeshLib

If MeshLib supports your research, please cite the exact version you used — find it with pip show meshlib.

@software{meshlib,
  author       = {{MeshLib Development Team}},
  title        = {{MeshLib}: 3D Mesh Processing Library},
  organization = {AMV Consulting LLC},
  year         = {2026},
  version      = {3.1.3.429},
  url          = {https://meshlib.io},
  note         = {Please cite the exact version used in your work}
}

Other styles (APA, IEEE, Chicago) and guidance on citing a specific algorithm: meshlib.io/citation-guide. Published something that uses MeshLib? Tell us in Discussions — we keep a list.

Community and support

• Bugs and feature requests → GitHub Issues
• Questions, ideas, show-and-tell → GitHub Discussions
• Commercial support → meshlib.io/book-a-call

If MeshLib saves you time, a ⭐ helps other engineers find it.