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SPECIFICTION
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Entwine

entwine.io

Linux
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Spec score 7.4 #11 of 24 in Point Cloud Software

What it is

Entwine is a Linux data organization library for building indexes of massive point-cloud datasets, from desktop-scale collections to trillions of points. Its build command creates an Entwine Point Tile (EPT) dataset, a flexible octree-based format. The project describes builds as lossless, retaining points, metadata, and precision, including at terabyte scale. Entwine can index any point-cloud format readable by PDAL, with documented storage types including laszip, zstandard, and binary. Input and output can use local storage or remote sources supported through Arbiter, including S3, GCS, and Dropbox. Commands accept options on the command line or settings in JSON files. The info command gathers file metadata before a build; merge combines completed subset builds, not unrelated EPT datasets. Output is shown with Potree, Plasio, and Cesium, and EPT can be converted to 3D Tiles for Cesium. An option enables AWS server-side encryption for S3 writes. Entwine is open source under the LGPL License; Conda is recommended as the fastest installation route, with source releases also listed.

Spec sheet

Purpose
Entwine is a data organization library for massive point clouds, intended for datasets from desktop scale to trillions of points.Read 7 Oct 2026 · entwine.io
Product
Entwine is a data organization library for massive point clouds, designed for datasets ranging from desktop scale to trillions of points.Read 4 Oct 2026 · entwine.io
Security
The configuration supports enabling AWS server-side encryption for S3 writes.Read 7 Oct 2026 · entwine.io
Support
The community page directs users to GitHub for issues and to Gitter and the PDAL mailing list for discussion and questions.Read 7 Oct 2026 · entwine.io
License
Entwine is available under the LGPL License.Read 7 Oct 2026 · entwine.io
Build command
The build command generates an Entwine Point Tile (EPT) dataset from point cloud data.Read 4 Oct 2026 · entwine.io
Cesium output
The configuration guide describes converting an EPT dataset to 3D Tiles for display in Cesium.Read 4 Oct 2026 · entwine.io
Client integrations
The site showcases Entwine output with Potree, Plasio, and Cesium clients.Read 4 Oct 2026 · entwine.io
Commands
The documented commands build EPT datasets, gather point-cloud information, and merge completed subset builds.Read 7 Oct 2026 · entwine.io
Configuration
Commands can be configured through command-line options or JSON configuration files.Read 7 Oct 2026 · entwine.io
EPT format
EPT is described as a simple, flexible, octree-based storage format for point cloud data.Read 4 Oct 2026 · entwine.io
Input formats
Entwine can index any point cloud format readable by PDAL.Read 7 Oct 2026 · entwine.io
Installation
The download page identifies Conda as the fastest installation route and links to the source repository.Read 7 Oct 2026 · entwine.io
Lossless builds
The maker says Entwine builds preserve points, metadata, and precision, including for terabyte-scale datasets.Read 7 Oct 2026 · entwine.io
Notable limit
The merge command combines completed subset builds and is not for merging unrelated EPT datasets.Read 7 Oct 2026 · entwine.io
Other commands
The documented commands include info for collecting pre-build file metadata and merge for combining completed subset builds.Read 4 Oct 2026 · entwine.io
Output formats
Documented point-data storage types are laszip, zstandard, and binary.Read 7 Oct 2026 · entwine.io
Security option
The build options include enabling AWS server-side encryption for S3 writes.Read 4 Oct 2026 · entwine.io
Storage integrations
Input and output paths can use local storage or remote sources including S3, Google Cloud Storage, and Dropbox.Read 7 Oct 2026 · entwine.io
Support channels
The community page says users interact through Gitter, GitHub, and a mailing list.Read 4 Oct 2026 · entwine.io
Visualization integrations
The maker links Entwine output demos using Potree, Plasio, and Cesium clients.Read 7 Oct 2026 · entwine.io

Strong points and limits

Strong points

  • Builds preserve points, metadata, and precision.
  • Reads any point-cloud format PDAL can read.
  • Supports local storage and remote sources.
  • Offers command-line and JSON configuration.
  • Has an AWS server-side encryption option for S3 writes.

Limits

  • Runs on Linux.
  • Merge is for subsets, not unrelated EPT datasets.
  • Remote sources depend on Arbiter support.

Who it suits

Entwine is for teams organizing large point-cloud collections that need EPT output and configurable local or remote storage. It may suit workflows using PDAL-readable data and Potree, Plasio, or Cesium clients.

Verdict

Entwine focuses on lossless point-cloud indexing and EPT dataset creation, with configuration and storage choices for varied builds. Keep the subset-only merge behavior in mind when planning how to combine datasets.

Where Specifiction places it

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