Entwine vs PDAL
Entwine
entwine.ioPDAL
pdal.ioSide by side
| Figure | Entwine | PDAL |
|---|---|---|
| Price from | — | — |
| Free plan | — | — |
| Free trial | — | — |
| Open source | — | — |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | Yes | Yes |
| Plans published | 0 | 0 |
| Spec score · Point Cloud Software | 7.4 (#11) | 5.8 (#21) |
In their own words
Entwine
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.
PDAL
PDAL is free desktop software for processing and analyzing point-cloud data on Linux, macOS, and Windows. It supports point-cloud registration, allowing point clouds to be aligned, and point classification, allowing points to be assigned categories. The software also provides geospatial analysis and point-cloud-to-mesh conversion. Supported file formats listed here include E57 and LAS/LAZ. Its processing mode is desktop, so the stated use is on a computer running one of the supported operating systems rather than through a web interface. PDAL has a free plan. The listed capabilities cover both analysis and transformation: users can register and classify point clouds, perform geospatial analysis, and convert point-cloud data into meshes. Format support for E57 and LAS/LAZ gives projects specific file options to check before adoption. These facts make PDAL relevant to workflows that need point-cloud processing across the three listed desktop platforms, with no price barrier stated beyond its free availability.