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Comparison · Free and open-source tools

Neurones 3D vs QGIS

Looking for a QGIS alternative? Neurones 3D is free, offline point cloud and Gaussian splatting software for Windows: the free viewer runs every process, from AI classification to dimensioned floor plans, and a one-time paid edition saves the results.

QGIS is the free, open-source desktop GIS. It displays LAS/LAZ, COPC and EPT point clouds in 2D and 3D, draws elevation profiles, runs PDAL-based point cloud algorithms and, since 3.44, lets you edit point attributes by hand in 3D views.

By Dr. Florent Poux, maker of Neurones 3D · QGIS's facts from QGIS project (open source)'s own documentation, checked

The short answer

Choose Neurones 3D if you need to turn raw point clouds into results: automatic classification with trained models, a ground filter, DTM and contours, M3C2 change detection, meshes and dimensioned plans, in one offline Windows application with a free viewer. Choose QGIS if you mainly need to see point clouds beside the rest of your GIS data, make maps and profiles, and run PDAL-based conversions, free and on any operating system.

At a glance

Neurones 3DQGIS
Runs onWindows 10 and 11 (64-bit)Windows, macOS, Linux, Android and iOS
Where it runsdesktopdesktop
Licencefree viewer + one-time paid editionsfree and open source (GNU General Public License)
PriceFree viewer; paid editions bought once, no subscriptionFree source
Free useThe free viewer opens, views and runs every process; writing results out needs a paid editionEntirely free

Feature by feature

"Not stated" means we could not find it in QGIS project (open source)'s documentation, not that it is missing. Each of QGIS's cells links to where we read it.

CapabilityNeurones 3DQGIS
Runs fully offlineYesNo account, no internet connection, no telemetryYesInstalled desktop application, free download, no account source
One-time licence availableYesBought once; no subscriptionYesFree of charge under the GNU GPL; no licence to buy source
Opens LAS/LAZ and E57YesLAS, LAZ, COPC, E57, PLY, PCD and more; a 127.8 M point E57 opens in about 22 sPartlyLAS/LAZ, COPC and EPT; E57 is not listed source
Scan registrationPartlyCloud-to-cloud alignment (ICP and graph matching, no initial placement needed), RMS shown with the inlier shareNot stated
AI point cloud classificationYesFour trained models ship in every build: indoor, aerial LiDAR, powerline, streetscape; a confidence per pointNot statedClasses are displayed and, since 3.44, edited by hand; no automatic classifier is listed among the point cloud algorithms
SegmentationYesUnsupervised segmentation, primitive decomposition, components, roomsNot stated
Automatic floor plansYesAutomatic, dimensioned, with sections and elevationsNot stated
DXF / CAD drawingsYesDXF R2000, SVG and PDF; no DWGYesVector layers export to AutoCAD DXF source
DTM / DSMYesDTM, DSM, CHM, slope, aspect, hillshade on one gridYesExport to raster, including by triangulation source
Contour linesYesContours that cannot crossYesGDAL Contour extracts contour lines from an elevation raster source
Change detectionYesM3C2 with a 95 % level of detection; cloud-to-cloud and cloud-to-BIM deviationNot stated
MeshingYesPoisson and clean meshing; the clean mesh is closed, not edge-manifoldNot stated
Gaussian splatsYesOpens PLY and SPZ splats, converts them to points, meshes them; does not train splatsNot stated
ReportsYesSelf-contained HTML reports with provenanceNot stated
Scripting / SDKYesEngine & SDK edition: Python package and headless command lineYesProcessing algorithms expose Python code; PyQGIS source

Where Neurones 3D is stronger

  • Classifies point clouds automatically with four trained models and a confidence per point; QGIS displays classes and, since 3.44, lets you edit them by hand.
  • Ground filtering, DTM, DSM, CHM and contours in one step from the raw cloud; QGIS’s point cloud algorithms cover conversion, clipping, thinning, merging, filtering and rasterising.
  • Opens E57 as well as LAS, LAZ and COPC; QGIS lists LAS/LAZ, COPC and EPT.

Where QGIS is stronger

  • Free and open source, on Windows, macOS, Linux, Android and iOS.
  • A complete GIS: vector editing, raster analysis, print layouts and hundreds of formats, plus a large plug-in ecosystem.
  • Point clouds sit beside all your other GIS layers, with elevation profiles, virtual point clouds and COPC output.

Who should choose which

Choose Neurones 3D to take a point cloud or a splat capture to a finished deliverable on your own machine: classified LAS, a dimensioned floor plan with sections and elevations in DXF, a DTM with contours, a change map or a report, without an account, an upload or a subscription. Every figure it publishes is measured; see the benchmarks.

Choose QGIS: GIS users who want point clouds beside their vector and raster layers, at no cost, on any operating system.

Questions

Is QGIS free?

QGIS: Free. Free use: Entirely free. Neurones 3D’s free viewer opens, views and runs every process; writing results out needs a paid edition bought once.

Does QGIS work offline?

QGIS: yes. Installed desktop application, free download, no account. Neurones 3D: yes. No account, no internet connection, no telemetry.

What is the best alternative to QGIS?

Choose Neurones 3D if you need to turn raw point clouds into results: automatic classification with trained models, a ground filter, DTM and contours, M3C2 change detection, meshes and dimensioned plans, in one offline Windows application with a free viewer. Choose QGIS if you mainly need to see point clouds beside the rest of your GIS data, make maps and profiles, and run PDAL-based conversions, free and on any operating system.

How this comparison was made

More comparisons

About

Why Neurones 3D exists.

Standing inside a 43.5 million point indoor laser scan rendered by Neurones 3D

I have spent years working with point clouds, and for most of them the software got in the way. I wanted one tool I would actually reach for every day: fast enough to enjoy, honest about what it does, and calm to use.

Neurones 3D started in Python, the way most of my research does. It worked, but it was heavy, and heavy tools quietly discourage you from opening them. So I rebuilt everything in Rust, from the file readers to the renderer, with one rule: stay frugal. A single small file, no cloud, no telemetry, billions of points on a laptop that is ten years old. In an age where every tool reaches for a data center, I wanted the opposite.

The goal is simple to say and hard to earn. One package that carries you from capture to understanding to deliverable, without exporting to five other programs along the way. Load a scan, a splat, a building, a phone video. See it, classify it, measure it, and send out something real. Together, in one place.

This is the tool I always wanted. I hope it becomes yours too.

Dr. Florent Poux 3D Geodata Academy

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