Entwine
Entwine: A focused command-line pipeline for generating and delivering cloud-scale EPT datasets. Ranked #22 of 24 in Point Cloud Software by our editors (6.8/10); pricing: Open source; best for cloud-scale point-tile generation pipelines.
At a glance
- Editor score6.8 / 10
- PricingOpen source
- Best forCloud-scale point-tile generation pipelines
- Paid fromFree
- Processing modeDesktop
- Facts checked22 Sep 2026

Where it wins
- Generates EPT datasets from PDAL-readable point-cloud formats
- Supports reprojection, subset builds, merging, and lossless output
- Connects local workflows with S3, Google Cloud Storage, and Dropbox
Where it doesn't
- Command-line workflow requires technical data-pipeline skills
- Focused on preparation and delivery, not interactive point-cloud editing
- Does not cover registration, mesh conversion, or classification processing
Our verdict on Entwine
Entwine is an open-source command-line library for organizing and indexing large point-cloud datasets. It is designed for teams preparing substantial collections for tiled access, cloud storage, and downstream visualization. The workflow centers on Entwine Point Tile (EPT) generation from PDAL-readable point-cloud formats, with support for local and remote input and output paths. It is a strong fit for engineers and geospatial data teams building repeatable point-cloud delivery pipelines rather than users seeking an interactive editing application.
Its processing scope is broad within data preparation. Entwine supports coordinate-system reprojection, subset builds, dataset merging, and lossless builds that preserve point, metadata, and precision information. It can write LASzip-compressed LAZ output and provides EPT metadata, hierarchy, and source tracking. Through Arbiter, it reads and writes S3, Google Cloud Storage, and Dropbox. For delivery, generated datasets can feed Cesium 3D Tiles workflows, while Potree, Plasio, and Cesium provide visualization options. That combination makes Entwine useful when storage location, tiling structure, and downstream viewing need to work together.
Entwine is distributed through source releases and Conda, and its local command-line model places setup and pipeline design with the adopting team. There is no hosted SaaS workflow in the product description, so it suits organizations comfortable managing command-line processing and storage paths. Its focus is deliberately narrow: teams needing EPT generation, indexing, reprojection, merging, and cloud-oriented delivery should consider it, while buyers looking for interactive point-cloud editing or analysis should choose a more specialized alternative.
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Entwine pricing
Entwine fact sheet
| Free plan | Not verified |
|---|---|
| Paid from | Free |
| Point-cloud registration | Not verified |
| Point classification | Not verified |
| Processing mode | Desktop |
| E57 support | Not verified |
| LAS/LAZ support | Yes |
| Geospatial analysis | Not verified |
| Point-cloud to mesh | Not verified |
| Deployment | Self-hosted |
| Support | Community, Docs |
| Built for | Small business, Mid-market, Enterprise (editorial estimate) |
| Integrations | 6 integrations: S3, Google Cloud Storage, Dropbox, Cesium, Potree, Plasio |
| Pricing | Open source |
| Website | entwine.io |
| Facts checked | 22 Sep 2026 |
Entwine integrations
Entwine lists 6 integrations on its own site.
- S3
- Google Cloud Storage
- Dropbox
- Cesium
- Potree
- Plasio
Alternatives to Entwine
- Autodesk ReCap ProA broad toolkit for turning scans and imagery into usable point clouds and meshes.9.3
- Leica Cyclone 3DRA deep Windows workflow for teams turning point clouds into models, measurements, inspections, and reports.9.1
- Leica Cyclone REGISTER 360 PLUSA focused Windows tool for automated registration, QA and broad point-cloud export.9.0
See all Entwine alternatives →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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