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Entwine

Free#22 of 24 in Point Cloud Software

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.

6.8/10Editor score
Entwine6.8 Visit Entwine

At a glance

  • Editor score
    6.8 / 10
  • Pricing
    Open source
  • Best for
    Cloud-scale point-tile generation pipelines
  • Paid from
    Free
  • Processing mode
    Desktop
  • Facts checked
    22 Sep 2026
Entwine screenshot
  • 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.

Your product? Our editors can test Entwine in depth and publish a review, labelled as paid · from $149/mo →

Entwine pricing

Plans Open sourceFree Free to use — no paid tier required for the core job.
See plans on entwine.io

Entwine fact sheet

Free planNot verified
Paid fromFree
Point-cloud registrationNot verified
Point classificationNot verified
Processing modeDesktop
E57 supportNot verified
LAS/LAZ supportYes
Geospatial analysisNot verified
Point-cloud to meshNot verified
DeploymentSelf-hosted
SupportCommunity, Docs
Built forSmall business, Mid-market, Enterprise (editorial estimate)
Integrations6 integrations: S3, Google Cloud Storage, Dropbox, Cesium, Potree, Plasio
PricingOpen source
Websiteentwine.io
Facts checked22 Sep 2026

Entwine integrations

Entwine lists 6 integrations on its own site.

  • S3
  • Google Cloud Storage
  • Dropbox
  • Cesium
  • Potree
  • Plasio

Alternatives to Entwine

See all Entwine alternatives →

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Featured on iTechGuides

Featured on iTechGuides — Entwine 6.8/10

Entwine is listed in our Point Cloud Software directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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