Entwine
Entwine is an open-source data organization library for indexing large point clouds, from desktop-scale datasets to collections with trillions of points.
What Entwine is
Entwine is an open-source data organization library for indexing large point clouds, from desktop-scale datasets to collections with trillions of points. Its build command creates an Entwine Point Tile (EPT) dataset, an octree-based format for point cloud data. The project describes its builds as lossless, preserving points, metadata, and precision, including at terabyte scale. Entwine can index any point cloud format readable by PDAL, including LAS/LAZ. Input and output paths can use local storage or remote sources supported by Arbiter, such as S3, GCS, and Dropbox. Commands accept settings through command-line options or JSON configuration files. The documented info command gathers file metadata before a build, while merge combines completed subset builds; it is not for unrelated EPT datasets. Entwine output is shown with Potree, Plasio, and Cesium clients, and EPT data can be converted to 3D Tiles for Cesium. An option enables AWS server-side encryption for S3 writes. Entwine runs on Linux and is available under the LGPL License. The download page recommends Conda as the fastest way to get started, and lists source releases.
Good
- Lossless builds preserve points, metadata, and precision
- Indexes formats readable by PDAL
- Supports local storage and several remote sources
- EPT output works with listed visualization clients
- Includes an AWS server-side encryption option for S3 writes
Watch out
- Merge is limited to completed subset builds
- Runs on Linux
Who it suits
Entwine is suited to teams organizing point cloud datasets, including large collections, and working with PDAL-readable formats or local and supported remote storage. Its documented tools and integrations may also suit workflows using Potree, Plasio, or Cesium.
Verdict
Entwine provides point cloud indexing, storage options, and EPT output for several listed clients. Its merge command is specifically for subset builds, not unrelated EPT datasets.
The facts
Each one read from Entwine's own pages, with the date it was checked.
What it does
- Build command
- The build command generates an Entwine Point Tile (EPT) dataset from point cloud data.checked 4 Oct 2001
- Cesium output
- The configuration guide describes converting an EPT dataset to 3D Tiles for display in Cesium.checked 4 Oct 2001
- Client integrations
- The site showcases Entwine output with Potree, Plasio, and Cesium clients.checked 4 Oct 2001
- Commands
- The documented commands build EPT datasets, gather point-cloud information, and merge completed subset builds.checked 7 Oct 2001
- Configuration
- Commands can be configured through command-line options or JSON configuration files.checked 7 Oct 2001
- EPT format
- EPT is described as a simple, flexible, octree-based storage format for point cloud data.checked 4 Oct 2001
- Input formats
- Entwine can index any point cloud format readable by PDAL.checked 7 Oct 2001
- Installation
- The download page identifies Conda as the fastest installation route and links to the source repository.checked 7 Oct 2001
- License
- Entwine is available under the LGPL License.checked 7 Oct 2001
- Lossless builds
- The maker says Entwine builds preserve points, metadata, and precision, including for terabyte-scale datasets.checked 7 Oct 2001
- Notable limit
- The merge command combines completed subset builds and is not for merging unrelated EPT datasets.checked 7 Oct 2001
- Other commands
- The documented commands include info for collecting pre-build file metadata and merge for combining completed subset builds.checked 4 Oct 2001
- Output formats
- Documented point-data storage types are laszip, zstandard, and binary.checked 7 Oct 2001
- Product
- Entwine is a data organization library for massive point clouds, designed for datasets ranging from desktop scale to trillions of points.checked 4 Oct 2001
- Purpose
- Entwine is a data organization library for massive point clouds, intended for datasets from desktop scale to trillions of points.checked 7 Oct 2001
- Security
- The configuration supports enabling AWS server-side encryption for S3 writes.checked 7 Oct 2001
- Security option
- The build options include enabling AWS server-side encryption for S3 writes.checked 4 Oct 2001
- Storage integrations
- Input and output paths can use local storage or remote sources including S3, Google Cloud Storage, and Dropbox.checked 7 Oct 2001
- Support
- The community page directs users to GitHub for issues and to Gitter and the PDAL mailing list for discussion and questions.checked 7 Oct 2001
- Support channels
- The community page says users interact through Gitter, GitHub, and a mailing list.checked 4 Oct 2001
- Visualization integrations
- The maker links Entwine output demos using Potree, Plasio, and Cesium clients.checked 7 Oct 2001
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