
GITNUXSOFTWARE ADVICE
Science ResearchTop 10 Best Digital Elevation Model Software of 2026
Top 10 ranking of digital elevation model software for mapping teams, with evaluation notes and tradeoffs for tools like Surfer.
How we ranked these tools
Vendors set the topic, but our editors set the inclusion criteria and the evaluation framework before research starts.
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Framework: Features 40% · Ease 30% · Value 30%
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Surfer is the best fit for GIS teams that want repeatable DEM gridding and derivative terrain rasters from XYZ point data, while Agisoft Metashape is the better choice when you’re producing high-resolution elevations from drone or aerial photogrammetry with consistent georeferencing.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
Surfer
Unified grid-to-map workflow keeps contour, hillshade, and derivative rasters aligned to one modeled surface.
Best for: Fits when GIS teams need repeatable terrain raster and derivative map generation without heavy geoprocess pipelines.
Agisoft Metashape
Editor pickMetashape’s dense reconstruction workflow produces triangulated meshes and derives raster elevation directly from the generated geometry.
Best for: Fits when survey teams need photogrammetric elevation production with repeatable georeferencing control.
Autodesk Civil 3D
Editor pickCivil 3D surface objects integrate breakline-controlled triangulation into grading-driven design outputs.
Best for: Fits when engineering teams convert survey data into controlled surfaces for grading deliverables.
Comparison Table
Surfer
desktop specialistGridding and 3D surface mapping tool for creating DEMs from XYZ point data.
Unified grid-to-map workflow keeps contour, hillshade, and derivative rasters aligned to one modeled surface.
Surfer is a grid-first terrain modeling tool that supports raster elevation grid creation and repeatable map generation from source points or surfaces. It offers parameterized outputs for common terrain deliverables like contours, hillshades, and derivative rasters so teams can standardize look and analysis settings across projects. The main fit signals appear in how quickly it gets from input to publishable raster maps with clear rendering controls.
A key tradeoff is that Surfer is not a full geoprocessing environment for large-scale GIS feature workflows, because it centers on surface modeling and visualization rather than feature engineering or network analysis. It works best when a single team repeatedly produces terrain products such as elevation rasters, contour sets, and slope derived layers from consistent inputs.
- +Grid modeling workflow produces terrain rasters with consistent map styling controls
- +Contouring and hillshade outputs are generated with direct, parameter-driven controls
- +Derivative mapping supports slope and aspect generation from the same modeled surface
- +Exported rasters are suitable for downstream GIS visualization workflows
- –Less suited for feature-based GIS workflows that require editing and topology maintenance
- –Complex hydro workflows need external GIS steps beyond built-in conditioning tools
Survey and mapping teams
Repeatable elevation surface deliverables
Consistent map outputs across projects
Environmental analysts
Slope and aspect layer production
Faster terrain characterization
Show 1 more scenario
GIS coordinators
Standardized raster deliverable packs
Lower variance between deliverables
Run the same parameterized mapping workflow to produce a predictable set of raster layers for teams.
Best for: Fits when GIS teams need repeatable terrain raster and derivative map generation without heavy geoprocess pipelines.
Agisoft Metashape
photogrammetryPhotogrammetry software that generates high-resolution DEMs from drone and aerial imagery.
Metashape’s dense reconstruction workflow produces triangulated meshes and derives raster elevation directly from the generated geometry.
Metashape fits teams that need end-to-end photogrammetric processing before rasterization, not just post-processing of existing rasters. Typical capabilities include camera alignment, dense cloud generation, mesh building, and raster export as GeoTIFF elevation grids.
A key tradeoff is operational depth over plug-and-play simplicity, because high-quality results depend on input coverage, alignment settings, and careful georeferencing. It works best when production staff already manage vertical datum and ground control inputs and want repeatable elevation outputs for mapping, planning, and engineering review.
- +Full photogrammetry to raster pipeline with GeoTIFF elevation export
- +Strong georeferencing controls using ground control and CRS handling
- +Flexible output generation for contours and terrain visualization
- +Good throughput for large image sets with project-based workflows
- –Results quality is sensitive to input overlap and alignment parameters
- –Automation and API access are limited compared with GIS-native toolchains
- –Large reconstructions can demand significant compute and storage
- –Collaboration and governance features are not geared for multi-admin GIS teams
Survey and mapping teams
Produce georeferenced elevation from drone imagery
Repeatable elevation delivery
Engineering planning groups
Generate contours for design review
Faster review cycles
Show 1 more scenario
Spatial data specialists
Standardize vertical datum outputs
Consistent elevations across areas
It provides workflows for vertical datum transformation so raster outputs match project baselines.
Best for: Fits when survey teams need photogrammetric elevation production with repeatable georeferencing control.
Autodesk Civil 3D
enterpriseCivil engineering software for creating terrain surfaces from elevation data, points, contours, and point clouds.
Civil 3D surface objects integrate breakline-controlled triangulation into grading-driven design outputs.
Civil 3D handles terrain as a managed surface object that can be built from survey points and mass points, then used as a source for grading, profiles, and alignments. It supports both triangulated and rasterized surfaces, which helps teams maintain controlled interpolation with breaklines while still producing raster-like outputs for downstream GIS use. The workflow emphasis on design tie-ins makes it a better fit than general GIS raster tools when grading logic and engineering constraints drive the elevation model.
A key tradeoff is that Civil 3D’s most efficient path is engineering-centric, so a pure GIS raster pipeline often needs additional conversion steps or external raster tooling. It fits usage situations where LiDAR-derived point data must be classified externally or imported, then turned into enforceable surfaces that drive grading and earthwork reporting. Teams that need tile-based publishing and cloud-optimized raster delivery tend to rely on GIS publishing tools after Civil 3D generates the design-grade terrain.
- +Managed TIN surfaces support engineering breakline enforcement
- +Surface objects connect directly to grading, profiles, and alignments
- +Civil 3D API supports automation of repeatable terrain workflows
- +Survey-to-design traceability reduces manual relinking of inputs
- –GIS raster analysis workflows often require external tools after export
- –Setup time rises for consistent coordinate systems and reference management
- –Point cloud and classification depth depend on upstream processing steps
- –Terrain publishing for web workflows typically needs GIS toolchains
Transportation engineering teams
Create grading surfaces from survey control
Consistent grading deliverables
Site design departments
Enforce terrain breaklines for parcels
Fewer manual terrain corrections
Show 2 more scenarios
GIS and CAD workflow teams
Automate surface builds across projects
Reduced workflow variance
Use Civil 3D extensibility to apply repeatable surface build parameters and export steps.
Survey teams
Integrate survey points into surfaces
Faster design handoff
Transform survey observations into design-grade terrain objects with traceable inputs.
Best for: Fits when engineering teams convert survey data into controlled surfaces for grading deliverables.
QGIS
open-source GISOpen-source desktop GIS with extensive raster terrain analysis and DEM processing toolsets.
Processing Toolbox chaining with map and model workflows supports repeatable, parameterized DEM raster operations.
QGIS is a GIS desktop application that turns raster elevation grids into analysis-ready outputs with an emphasis on map-driven workflows. It can run DEM processing with native tools and algorithm providers, including raster terrain derivatives like slope and aspect plus visualization workflows like hillshade rendering.
- +GDAL-based raster I/O supports common DEM formats and reprojection workflows
- +Native and provider-based processing toolbox enables repeatable batch DEM steps
- +Raster terrain derivatives and hillshade outputs integrate directly into map projects
- +Plugin ecosystem adds specialized terrain workflows for niche elevation needs
- –Advanced hydrologic conditioning workflows often require specific processing chains
- –Large-area DEM processing can be slow without careful tiling and parameter tuning
Best for: Fits when teams need desktop DEM processing with strong raster I/O and repeatable batch workflows.
GRASS GIS
open-source GISOpen-source GIS specializing in raster processing, terrain modeling, and hydrological analysis.
Hydrologic conditioning toolchain built around flow derivatives and sink filling workflows.
GRASS GIS performs elevation grid processing through its raster engines and terrain analysis toolchains. It supports end-to-end workflows that start with importing elevation rasters and finish with derived products like hillshade, slope, and aspect.
- +Large library of terrain analysis modules for repeatable elevation processing
- +Hydrologic conditioning workflows include sink filling and flow-related tools
- +CLI and scripting support enables batch runs across many tiles
- +Extensible module system supports custom processing without replacing core tools
- –Command-line driven workflows add friction for users needing point and click
- –Several advanced terrain workflows require careful configuration of parameters
- –Automation needs scripting discipline to keep environments consistent
- –Some raster scale operations can become slow without tuned processing settings
Best for: Fits when GIS teams need scriptable terrain analysis modules and hydrologic conditioning for many DEM tiles.
CloudCompare
point cloud processingOpen-source 3D point cloud and mesh processing tool with DEM extraction from dense point clouds.
High-fidelity surface reconstruction from triangulated irregular network generated over filtered point clouds.
CloudCompare targets point-cloud workflows for elevation products, especially when LiDAR-derived point sets or photogrammetric outputs need classification and cleaning before any DEM generation. Core capabilities include triangulated irregular network export, contour generation, and hillshade style visualization from filtered or resampled point data.
- +TIN-based surface export and contour generation from cleaned point data
- +Ground classification and outlier removal workflows tailored to elevation preparation
- +Batch processing to run identical filters and exports across multiple datasets
- +Resampling and grid generation steps built around point-to-surface conversion
- –DEM outputs often require additional GIS steps for hydrology and conditioning
- –Large projects can be memory heavy when creating dense surfaces
- –Less focused on raster-centric raster algebra and tile publishing operations
- –Automation relies on command tooling and scripting patterns that take practice
Best for: Fits when DEM or DSM surfaces must be derived from point clouds after classification and QA filtering.
GeoHECRAS
vertical specialistCivil engineering software for terrain-based watershed, floodplain, and HEC-RAS model preparation.
HEC-RAS targeted terrain preparation with vertical datum transformation and hydrologic conditioning for model-ready rasters.
GeoHECRAS connects raster elevation preparation with hydrodynamic workflows by centering on HEC-RAS terrain inputs. It focuses on conditioning and conversion steps needed to get consistent rasters, including vertical datum handling and hydrologic preprocessing choices.
- +Tight workflow alignment to HEC-RAS terrain input requirements
- +Vertical datum transformation support for consistent model elevations
- +Hydrologic conditioning options aimed at stable surface representations
- +Raster output preparation geared for downstream hydraulic modeling
- –Automation and API surface for batch processing is not emphasized
- –General DEM analysis breadth is thinner than GIS-centric alternatives
- –Requires disciplined configuration to avoid elevation and alignment mismatches
- –Less direct support for broad publishing outputs like web services
Best for: Fits when HEC-RAS teams need repeatable DEM conditioning and elevation consistency for hydraulic runs.
ENVI
enterpriseGeospatial analysis software for raster elevation data, terrain metrics, image analysis, and remote sensing.
ENVI scripting ties custom preprocessing, terrain products, and quality checks into batchable DEM pipelines.
ENVI is a geospatial workstation for raster elevation processing that concentrates many DEM workflows into one environment. It supports terrain analysis tasks like hillshade, slope, aspect, and orthogonal surface products from the same toolchain used for lidar and photogrammetric elevation inputs.
- +One workstation workflow covers lidar and raster-based elevation analysis
- +Scripting enables repeatable DEM processing for batch production runs
- +Advanced reprojection and georeferencing utilities support vertical alignment tasks
- +Terrain tools include hillshade, slope, and aspect from elevation rasters
- –Deep workflow breadth increases learning curve for first-time GIS users
- –High-end processing still depends on correct data preparation and inputs
- –Batch throughput can bottleneck on large rasters without careful tiling
- –Some publishing steps require additional GIS services rather than built-in hosting
Best for: Fits when GIS teams need end-to-end DEM analysis in a scripted desktop workflow.
WebODM
SMBWeb-based drone mapping application for generating georeferenced elevation models, orthophotos, and 3D models.
WebODM task management for running ODM pipelines end to end and exporting GIS-ready GeoTIFF elevation products.
WebODM converts photogrammetry outputs into elevation products by running an ODM-style reconstruction pipeline in the browser and on a server. It generates georeferenced elevation rasters and derived surfaces like hillshades and contour lines from processed imagery.
- +Browser-driven job management for photogrammetry to elevation raster export
- +GeoTIFF elevation outputs that fit typical GIS ingest and tile pipelines
- +Deterministic processing steps from reconstruction to raster derivatives
- +Supports OGC-style map serving for visualization without custom glue code
- –Requires server-side compute and storage tuning for large image sets
- –Elevation post-processing controls are narrower than specialized terrain tools
- –Advanced hydrologic conditioning workflows need external GIS processing
- –Automation depends on operational conventions rather than a rich admin API
Best for: Fits when teams need repeatable, server-run photogrammetry processing to GeoTIFF elevation for GIS review.
Orfeo ToolBox
API-firstOpen-source remote sensing library and application set with raster processing and elevation data capabilities.
Hydrologic conditioning and sink-handling stages are first-class terrain pipeline components.
Orfeo ToolBox is a geospatial processing toolkit focused on end-to-end terrain workflows built around open command-line and library components. It provides algorithms for DEM preparation steps such as resampling, void filling, sink handling, and hydrologic conditioning, plus raster-to-derived products like slope and aspect.
- +Extensive terrain algorithms for preprocessing, hydrology, and raster derivatives
- +Automation-friendly CLI and C++ APIs for repeatable batch processing
- +Point-cloud and triangulated surface workflows for elevation model creation
- +Configurable processing chains that keep intermediate outputs inspectable
- –Workflow wiring takes more engineering than button-based GIS tools
- –Tile-based throughput management requires custom orchestration
- –Less guided governance and role-based control than enterprise GIS stacks
- –Learning curve is steep for parameter-heavy hydrologic steps
Best for: Fits when GIS teams need scripted DEM processing and custom terrain chains with API-level control.
Conclusion
After evaluating 10 digital elevation model software, Surfer stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.
Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.
How to Choose the Right Digital Elevation Model Software
Digital elevation model software turns surveyed point clouds and photogrammetric or triangulated surfaces into raster elevation grids that feed hillshade rendering, contour generation, slope and aspect analysis, and hydrologic conditioning. This buyer’s guide covers Surfer, Agisoft Metashape, Autodesk Civil 3D, QGIS, GRASS GIS, CloudCompare, GeoHECRAS, ENVI, WebODM, and Orfeo ToolBox across GIS desktop workflows, engineering surface design, and server-run elevation production.
The evaluation emphasis follows the way production work is actually executed, with attention to integration depth, repeatable automation paths, and the control surface exposed for batch processing. Tools that center on a grid-to-map workflow or a photogrammetry-to-GeoTIFF pipeline are treated differently from tools built for hydrologic conditioning and scripted terrain processing chains.
Digital Elevation Model Software for Raster Terrain Grids and Hydrologic Conditioning
Digital elevation model software converts elevation sources such as point clouds, photogrammetric reconstructions, or triangulated irregular networks into raster elevation grids usable in GIS and engineering analysis. Many tools generate terrain derivatives like hillshade and contour layers directly from the same modeled surface so map outputs stay aligned to the underlying raster. Surfer focuses on a unified grid-to-map workflow that keeps contour and hillshade outputs consistent with parameter-driven terrain modeling, which reduces the risk of mismatched surfaces during production.
QGIS supports repeatable DEM processing through its Processing Toolbox chaining with GDAL-based raster I/O and batch workflows for reprojection and raster operations. Across the list, the practical differences come from whether the software is built for GIS-style raster pipelines, photogrammetry-to-GeoTIFF reconstruction, or hydrologic conditioning with sink filling and flow derivatives.
DEM production control points for raster grids, hydrology, and automation
Digital elevation model software succeeds when it keeps a consistent surface through contouring, hillshade, and derivative rasters so downstream GIS layers do not drift from the modeled grid. It also needs repeatable automation paths so large tile sets, point-cloud datasets, and server runs produce the same results every time.
Unified grid-to-derivatives workflow to prevent surface mismatch
Surfer keeps contour and hillshade outputs aligned to a single modeled grid using direct, parameter-driven controls. This reduces the risk of generating derivatives from different intermediate surfaces than the one used for the final DEM export.
Photogrammetry-to-raster reconstruction pipeline with georeferencing controls
Agisoft Metashape runs a dense reconstruction workflow that derives raster elevation from generated geometry and exports GeoTIFF elevation. It also emphasizes ground control and CRS handling, which matters when survey-grade georeferencing must stay consistent.
Breakline-controlled surface design aligned to grading objects
Autodesk Civil 3D builds managed TIN surfaces that enforce engineering breaklines inside surface objects. Those surface objects connect directly to grading, profiles, and alignments for engineering deliverables that must preserve design constraints.
Repeatable GIS-style raster processing with GDAL-based I/O and chaining
QGIS uses its Processing Toolbox chaining with GDAL-based raster I/O to support batch reprojection and raster operations. GRASS GIS complements this style with a large terrain analysis module library, including hydrologic conditioning components such as sink filling and flow derivatives.
Hydrologic conditioning toolchains built for many tiles and flow derivatives
GRASS GIS centers hydrologic conditioning around flow derivatives and sink filling so teams can process many DEM tiles with consistent behavior. Orfeo ToolBox also treats sink-handling and hydrologic conditioning stages as first-class components in scripted terrain pipelines.
Point-cloud filtering and TIN reconstruction for DEM or DSM surfaces
CloudCompare generates high-fidelity surfaces from triangulated irregular networks over filtered point clouds and then exports TIN-based surface and contour products. This fits DEM derivation after ground classification and elevation outlier removal steps.
Task-managed photogrammetry pipelines that export GIS-ready GeoTIFF elevation
WebODM manages ODM pipelines end to end in a browser-driven workflow and exports GeoTIFF elevation products for GIS ingest. This approach fits teams that run server-side compute for image sets and then hand off the resulting elevation raster to GIS tiling.
Choose based on where your workflow originates and where conditioning must happen
First decide whether the workflow begins with an existing point cloud or with photogrammetric images that must be reconstructed into elevation geometry. That origin point determines whether dense reconstruction and georeferencing controls matter more than GIS raster chaining or hydrologic conditioning modules.
Start with photogrammetry and need repeatable georeferenced elevation output
Select Agisoft Metashape when dense reconstruction must produce triangulated meshes and then derive GeoTIFF elevation from that geometry with ground control and CRS handling. Select WebODM when server-run photogrammetry should be managed as browser tasks and then exported as GeoTIFF for GIS review.
Start with classified point clouds and need DEM or DSM surfaces from cleaned data
Choose CloudCompare when ground classification and elevation outlier removal happen before TIN-based surface reconstruction and when contour generation needs to be derived from cleaned point data. Expect hydrologic conditioning to require additional GIS steps because conditioning is not emphasized as the primary output stage.
Start with engineering survey constraints and need breakline enforcement in design objects
Choose Autodesk Civil 3D when survey data must convert into controlled surfaces that enforce engineering breaklines through surface objects. Use its integration with grading, profiles, and alignments when the DEM outcome must match design workflows rather than a GIS-only raster pipeline.
Standardize GIS raster processing and automate DEM batch chains
Pick QGIS when Processing Toolbox chaining with GDAL-based raster I/O must handle reprojection and raster operations in repeatable desktop workflows. Pick GRASS GIS when terrain analysis scripting must scale across many tiles and when hydrologic conditioning with sink filling and flow derivatives must be defined through modules.
Centralize hydrologic conditioning stages inside a scripted pipeline
Select Orfeo ToolBox when sink-handling and hydrologic conditioning components need to be first-class stages in a custom terrain chain. Choose GRASS GIS when hydrologic conditioning behavior should be driven by a broader terrain analysis module library for many derivative operations.
Need a single modeled surface that stays consistent across maps and derivatives
Choose Surfer when grid modeling must feed contours and hillshade from a unified grid-to-map workflow with parameter-driven styling controls. Use it when teams want fewer external geoprocess steps and when feature-editing and topology maintenance are not the primary requirement.
Who each DEM software category fits in real production workflows
Different teams assemble DEM pipelines around different constraints. Survey teams often prioritize photogrammetric reconstruction quality and georeferencing controls.
GIS teams prioritize batchable raster processing, raster I/O consistency, and scriptable terrain analysis. Engineering teams prioritize breakline enforcement and design integration.
GIS raster pipeline teams that batch and chain DEM processing steps
QGIS supports repeatable raster workflows through Processing Toolbox chaining and GDAL-based raster I/O, which matches batch reprojection and raster operations. GRASS GIS supports tile-scale hydrologic conditioning through sink filling and flow-related tools with scriptable terrain analysis modules.
Photogrammetry survey teams that require controlled reconstruction to GeoTIFF elevation
Agisoft Metashape produces triangulated meshes and then derives raster elevation to GeoTIFF with strong georeferencing controls. WebODM manages photogrammetry execution as browser-run tasks and exports GeoTIFF elevation that fits typical GIS ingest pipelines.
Engineering teams producing grading surfaces with enforced breaklines
Autodesk Civil 3D uses managed TIN surface objects with engineering breakline enforcement. It connects those surfaces to grading, profiles, and alignments for engineering deliverables that require design consistency.
Hydraulics teams preparing model-ready terrain for HEC-RAS runs
GeoHECRAS aligns terrain preparation to HEC-RAS input requirements with vertical datum transformation and hydrologic conditioning. That focus reduces the gap between raw elevation rasters and model-ready hydraulic runs.
Point-cloud teams that filter and reconstruct surfaces into DEM or DSM outputs
CloudCompare reconstructs surfaces from filtered point clouds using TIN-based methods and exports contour products derived from cleaned point data. This fits teams that treat DEM generation as a post-classification reconstruction step.
Common DEM software pitfalls during pipeline build-out
A frequent mistake is treating visualization outputs as if they come from the same modeled surface. When contours and hillshade are produced from different intermediate grids, slope and hydrologic derivatives can disagree with the final DEM used for GIS ingest.
Generating contours and hillshade from separate intermediate rasters that do not match the exported DEM grid.
Use Surfer when a unified grid-to-map workflow generates contours and hillshade from the same modeled surface with parameter-driven controls. For QGIS chains, ensure the same intermediate raster is the input for each derivative step in the Processing Toolbox sequence.
Assuming hydrologic conditioning and sink handling are equally first-class across all DEM tools.
Use GRASS GIS or Orfeo ToolBox when sink filling and flow-derivative driven conditioning must be defined as a core stage in many-tile runs. Use Surfer or QGIS when hydrology is needed but accept that advanced conditioning often requires careful processing chains.
Underestimating workflow differences between engineering breakline surfaces and GIS raster analysis.
Select Autodesk Civil 3D when breakline-controlled triangulation and grading integration are required for deliverables. Plan for GIS raster analysis work in external tools when Civil 3D exports to raster and the analysis must happen in a GIS-centric environment.
Scaling photogrammetry without matching task management to server compute and storage constraints.
Use WebODM when browser-managed task execution fits the image-set pipeline and when GeoTIFF elevation exports need to land in GIS ingest. Budget time for server-side tuning when large image sets demand compute and storage configuration.
Building point-cloud DEM pipelines without a clear plan for when classification and QA happen.
Use CloudCompare when ground classification and outlier removal happen before TIN surface reconstruction and contour generation from cleaned points. Plan additional GIS conditioning steps after CloudCompare when hydrologic conditioning is required for sink handling and flow derivatives.
How We Selected and Ranked These Tools
We evaluated each tool by feature fit for DEM grid production, derivative raster generation, and hydrologic conditioning behavior. Features took 40% of the weighting because repeatable terrain outputs depend on how contour, hillshade, and conditioning stages are implemented.
Ease and value each took 30% because desktop friction and batch automation effort directly affect throughput for raster and point-cloud projects. Surfer ranked highest because it keeps contour and hillshade aligned to a single modeled surface through a unified grid-to-map workflow with parameter-driven controls.
Frequently Asked Questions About Digital Elevation Model Software
How does QGIS compare with GRASS GIS for scripted DEM processing at tile scale?
Which tool handles hydrologic conditioning and sink filling more directly for DEMs?
When photogrammetry inputs produce elevations in a browser or server environment, which option fits?
What breaks if a DEM workflow depends on breakline enforcement and engineering-grade surface edits?
How does CloudCompare fit into a DEM pipeline when inputs start as classified point clouds?
Which tool provides deeper integration with HEC-RAS terrain preparation rather than general GIS DEM workflows?
How does ENVI handle batch DEM pipelines and georeferencing alignment compared with QGIS?
Where does WebODM fall short compared with Metashape for controllable dense reconstruction geometry?
How can DEM software be automated through scripting or API integration for custom pipelines?
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
Funding and competing interests
This study was co-funded by several of the vendors assessed in it. No single vendor funded it. Funders could propose the market studied.
They had no role in selecting vendors, setting or weighting criteria, analysing data or drawing conclusions, and they received the same factual-accuracy check as every other vendor assessed.
Market definition, inclusion rules and criteria weights were fixed by an editor before research began and did not change afterwards. Editorial process →
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