Libraries · head to head
PDAL vs Potree

PDAL
Libraries
Open source C++ library and command line tool for point cloud translation and processing
- From
- Free
- Rated
- -

Potree
Maps
Open source WebGL viewer for publishing very large point clouds in a browser
- From
- Free
- Rated
- -
The short version
- Each has a real cost: PDAL it is a library and command line tool with no graphical interface, so anyone expecting to inspect, edit or visualise a point cloud needs entirely separate software.; Potree there is no vendor, no support contract and no service level, so anything you build on Potree is your organisation’s responsibility to maintain when a browser update breaks rendering.
- They diverge on capability: PDAL covers Format translation, Potree covers Octree streaming.
- Prices and features above were last checked on 1 September 2026.
Where they differ
Only the attributes on which PDAL and Potree actually diverge.
Identical on both: starting price (Free), pricing model (Open source, no licence fee), free tier (Yes), user rating (Not yet rated).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in PDAL
- Format translation
- JSON pipelines
- Ground classification filters
- Reprojection
- Rasterisation
- Python bindings
- Streaming mode
- Cloud-native output
Only in Potree
- Octree streaming
- Large dataset rendering
- Measurement tools
- Clipping and profiles
- Annotations
- Attribute colouring
- PotreeDesktop
- Self-hosting
What people use each for
The jobs each tool is most often brought in to do.
PDAL
- A mapping agency building a repeatable pipeline that reprojects, classifies ground and tiles a national lidar datasetnot Potree
- A developer converting client-delivered LAS files into cloud-optimised COPC for streaming to a web viewernot Potree
- A researcher scripting outlier removal and DEM generation from drone lidar inside a Python notebooknot Potree
- A survey firm automating quality checks on incoming point cloud deliveries rather than opening each file by handnot Potree
Potree
- A drone survey firm delivering a point cloud to a client who has no desktop software, by publishing a browser viewer link instead of a 40 GB LAZ filenot PDAL
- A heritage or archaeology project publishing a scanned site for public access without paying per-gigabyte hosting to a commercial platformnot PDAL
- An engineering consultancy embedding a point cloud viewer inside its own client portal without licensing a commercial web viewernot PDAL
- A university or research group that needs measurement and profiling in a shareable viewer for a dataset too large to emailnot PDAL
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
PDAL
- It is a library and command line tool with no graphical interface, so anyone expecting to inspect, edit or visualise a point cloud needs entirely separate software.
- Pipelines are written as JSON with filter-specific parameters, and getting classification results right requires understanding the underlying algorithms rather than tuning a slider.
- Development depends heavily on a small contributor base and on public sector contract funding, which is a concentration risk for an organisation making it load-bearing.
- There is no vendor support tier to purchase; paid help means a consulting engagement, which suits an agency with a procurement process and suits a small firm poorly.
- Error messages and documentation assume geospatial and command line fluency, so the practical adoption cost is staff capability rather than licence fees.
Potree
- There is no vendor, no support contract and no service level, so anything you build on Potree is your organisation’s responsibility to maintain when a browser update breaks rendering.
- Conversion is a separate manual step with PotreeConverter, and building an automated publishing pipeline around it is engineering work the project does not provide.
- Rendering quality and performance depend on the client machine and WebGL support, so a client on a locked-down corporate laptop with poor graphics may see a viewer that stutters or fails outright.
- A WebGPU rewrite, Potree-Next, is in progress and is not a drop-in upgrade, so current integrations face an eventual migration with no vendor to manage it.
- There is no access control, user management or audit layer; anyone with the URL sees the data unless you build authentication around the static files yourself, which is a real problem for confidential sites.
Pricing, plan by plan
PDAL
Free- PDALFree
- BSD licence
- Library, command line tool and Python bindings
- No usage or seat limits
Potree
Free- PotreeFree
- BSD-style open source licence
- Unlimited datasets and viewers
- Self-hosted on any static web server
Which should you pick?
Choose PDAL if
- You need format translation.
- You want to start without paying.
- You work on Linux, Windows, macOS.
- You also want json pipelines.
Choose Potree if
- You need octree streaming.
- You want to start without paying.
- You work on Web, Windows, macOS, Linux.
- You also want large dataset rendering.
Questions people ask
- Is PDAL or Potree better?
- Neither clearly leads. PDAL starts at Free and Potree at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, PDAL or Potree?
- PDAL starts at Free and Potree at Free.
- Does PDAL or Potree run on more platforms?
- PDAL runs on Linux, Windows, macOS. Potree runs on Web, Windows, macOS, Linux.
- Can I use PDAL for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is PDAL best used for?
- PDAL is most often used for a mapping agency building a repeatable pipeline that reprojects, classifies ground and tiles a national lidar dataset, a developer converting client-delivered las files into cloud-optimised copc for streaming to a web viewer, a researcher scripting outlier removal and dem generation from drone lidar inside a python notebook, a survey firm automating quality checks on incoming point cloud deliveries rather than opening each file by hand. Of those, a mapping agency building a repeatable pipeline that reprojects, classifies ground and tiles a national lidar dataset and a developer converting client-delivered las files into cloud-optimised copc for streaming to a web viewer are not what Potree is typically brought in for.
- What can PDAL do that Potree cannot?
- PDAL covers Format translation, JSON pipelines, Ground classification filters, Reprojection. Potree covers Octree streaming, Large dataset rendering, Measurement tools, Clipping and profiles.
Answered from the vendors’ own pages
PDAL: Is PDAL a product I can buy?
No. It is a free BSD-licensed library and command line tool. There is nothing to purchase.
Potree: Does Potree cost anything?
No. It is open source and free. You supply the hosting, which for a static viewer is inexpensive.
PDAL: Who maintains it?
An open contributor community with development led substantially by Hobu Inc, funded largely through US public sector contracts.
Potree: Is there commercial support?
No. There is no vendor and no support contract. Support is GitHub issues and the community.
PDAL: Can I get commercial support?
Only by contracting Hobu or an independent consultancy. There is no support subscription.
Potree: Who maintains it?
It originated at TU Wien and is maintained principally by Markus Schütz, with community contributions.
PDAL: Does it have a viewer?
No. Use QGIS, CloudCompare or a web viewer for visualisation; PDAL handles the processing.
Potree: Can it handle very large clouds?
Yes, hundreds of millions of points, because PotreeConverter builds a multi-resolution octree that streams only what is visible.
Potree: Is my data private?
Only if you make it so. Potree serves static files with no built-in authentication, so access control is entirely your responsibility.
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