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Construction InfrastructureTop 10 Best Drone Roof Measurement Software of 2026
Top 10 drone roof measurement software ranked for roofers and property analysts, with tool comparisons and practical tradeoffs.
How we ranked these tools
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Framework: Features 40% · Ease 30% · Value 30%
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Hover is the best pick for contractors and insurers who need repeatable roof and exterior measurement deliverables from drone imagery with minimal geometry tinkering, whereas EagleView fits insurance and estimating teams that want consistent, export-ready roof measurement reports and imagery products.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
Hover
Roof facet extraction that drives measurement-ready reporting, reducing the gap between reconstruction and takeoff deliverables.
Best for: Fits when contractors need repeatable drone roof measurement deliverables with minimal geometry tinkering.
EagleView
Editor pickReport-focused roof outputs with production-oriented DXF and GeoJSON geometry exports from aerial measurements.
Best for: Fits when insurance and estimating teams need consistent roof measurements with export-ready geometry.
Pix4D
Editor pickBatch processing and export-driven workflows that produce measurement-ready geometry for CAD and GIS downstream steps.
Best for: Fits when teams need standardized photogrammetry outputs and CAD or GIS handoffs across many roof projects.
Comparison Table
Hover
SMBProperty measurement platform that creates roof and exterior measurements from imagery for contractors and insurers.
Roof facet extraction that drives measurement-ready reporting, reducing the gap between reconstruction and takeoff deliverables.
Hover’s workflow starts with defining a flight run plan, then ingesting flight data to produce roof surface outputs suitable for measurement and review. The deliverables emphasize roof geometry extraction and measurement-centric reporting, with export options that support downstream estimating tools. Integration depth comes through workflow handoff, because teams can move from capture outputs to structured reports without rebuilding the processing pipeline. The automation emphasis shows up most when repeated roof jobs share similar capture and deliverable requirements.
A tradeoff appears when project deliverables require highly specific downstream CAD conventions, because Hover’s exports follow its own measurement report structure. Hover works best when the goal is consistent roof measurement deliverables for estimating and construction planning rather than custom reconstruction research. For teams coordinating multiple site jobs, Hover’s repeatability reduces rework in the handoff from imaging to report-ready outputs.
- +Measurement-first outputs reduce manual rework after roof reconstruction
- +Report generation stays consistent across multi-roof project batches
- +Geometry extraction supports rapid facet-based area takeoffs
- +Export formats match common estimating and documentation workflows
- –Highly custom CAD mapping may require post-processing outside Hover
- –Edge cases in complex rooflines can increase review time
- –Limited control compared with teams that need bespoke processing parameters
- –Dependence on clean capture inputs raises sensitivity to flight quality
Roofing estimating teams
Produce takeoffs from repeated drone captures
Faster quotes with fewer revisions
Drone ops coordinators
Standardize capture to deliverables handoff
Less rework between teams
Show 1 more scenario
Construction project managers
Review roof geometry for planning
Clearer scope and material planning
Hover outputs measurement-centric deliverables used for planning and procurement workflows.
Best for: Fits when contractors need repeatable drone roof measurement deliverables with minimal geometry tinkering.
EagleView
enterpriseProperty measurement software that provides roof measurement reports and imagery products for contractors and insurers.
Report-focused roof outputs with production-oriented DXF and GeoJSON geometry exports from aerial measurements.
EagleView pairs photogrammetry processing with report-ready geometry so teams can move from imagery to roof facet extraction and area reports without manual rework. Deliverables commonly include geometry exports such as DXF and GeoJSON, which helps downstream systems ingest roof shapes and measurements. The workflow is geared toward projects that expect predictable structure in the output files and the accompanying measurement summaries.
A key tradeoff appears when projects need heavy customization of the measurement logic or advanced processing controls. Teams that require deep tuning of reconstruction settings or bespoke geometry edits often have to adapt their process around EagleView’s defined outputs. EagleView fits best when reporting timelines matter and when measurement outputs must align with a repeatable inspection-to-estimate chain.
- +Repeatable roof measurement deliverables for estimating and reporting workflows
- +DXF and GeoJSON exports support downstream geometry and analytics pipelines
- +Facet-level roof summaries reduce manual measurement validation work
- +Workflow favors consistent outcomes across diverse roof shapes
- –Less suited for teams needing custom processing or geometry logic
- –Downstream integration depends on mapping EagleView exports into internal formats
- –Exceptional results still rely on appropriate capture planning and coverage
- –Limited flexibility for custom deliverable types beyond the core bundle
Insurance estimating teams
Convert drone capture to roof takeoff
Reduced measurement rework
Property inspection operations
Standardize roof condition measurement
Faster report turnaround
Show 2 more scenarios
Construction estimating groups
Ingest roof geometry for modeling
Streamlined quantity workflows
Uses GeoJSON and DXF exports to feed roof area and shape into takeoff tooling.
GIS and mapping teams
Publish roof footprints and facets
Better spatial alignment
Exports geometry in GeoJSON to support spatial analysis and mapping overlays.
Best for: Fits when insurance and estimating teams need consistent roof measurements with export-ready geometry.
Pix4D
API-firstDrone mapping and photogrammetry software that can generate roof measurements, orthomosaics, and 3D models from drone imagery.
Batch processing and export-driven workflows that produce measurement-ready geometry for CAD and GIS downstream steps.
Pix4D provides a structured photogrammetry workflow that starts from image inputs, performs aerial triangulation, and produces 3D outputs suitable for roof measurement. The tool’s export options support common measurement handoffs, including DXF and GeoJSON oriented outputs used for downstream CAD and GIS processing. Automation is practical through project-based processing patterns, batch runs, and consistent coordinate reference system handling for multi-site programs. Integration depth is strongest when an internal GIS or CAD stack consumes its exported geometry rather than when the software must drive every field step.
A key tradeoff is that roof measurement accuracy depends on planning discipline and input quality, because the software cannot correct poor overlap, unstable platform motion, or weak ground control coverage. A common usage situation is a measurement team that preps a standardized flight planning grid, processes batches in Pix4D, and then runs extraction and reporting in a separate geometry analysis step. This split can work well when governance requires consistent exports and repeatable processing logs, but it can slow teams that want everything from acquisition to report inside one click.
- +Repeatable photogrammetry pipeline with aerial triangulation to standardize geometry
- +Outputs support CAD and GIS handoff via DXF and GeoJSON exports
- +Project-based processing patterns enable batch runs across multiple roof sites
- +Consistent coordinate reference system handling for multi-site programs
- –Roof-specific reporting workflows often require external extraction and calculations
- –Accuracy is sensitive to capture quality and ground control coverage discipline
- –Complex projects need tighter processing configuration than single-purpose viewers
- –End-to-end field-to-report automation depends on surrounding tools
Geospatial analysts at mid-size firms
Consistent roof geometry for downstream extraction
Fewer rework loops across sites
GIS teams supporting multi-site programs
GeoJSON handoff into GIS workflows
Faster map-based verification
Show 1 more scenario
Aerial survey operations
Automated batch runs from image sets
Higher throughput on repeatable jobs
Batch processing converts image collections into reusable deliverables with consistent project configuration.
Best for: Fits when teams need standardized photogrammetry outputs and CAD or GIS handoffs across many roof projects.
Scanifly
vertical specialistDrone design and site survey software for solar projects that captures roof geometry, measurements, and obstructions.
Rules-based roof segmentation that drives facet extraction for measurement exports across repeatable project templates.
Scanifly turns drone roof captures into measurement-ready deliverables with an end to end workflow that starts at image ingestion and ends at area reporting outputs. The distinguishing capability is its rules-driven roof segmentation and facet extraction flow that supports consistent roof geometry extraction across projects.
- +Rules-driven roof facet extraction supports consistent measurements across similar roofs
- +DXF and GeoJSON exports fit common estimating and GIS handoffs
- +Project templates help standardize deliverables across multiple roof jobs
- +Workflow keeps processing states visible from upload to export
- –Best results depend on consistent flight logs and clean capture overlap
- –Advanced tuning requires careful configuration discipline across project templates
- –Edge snapping behavior can need manual review on complex dormers
- –Geo outputs can require extra normalization before some CAD pipelines
Best for: Fits when roof measurement teams need repeatable segmentation outputs plus DXF or GeoJSON handoff without custom photogrammetry work.
WebODM
SMBOpen-source drone mapping software for orthophotos, point clouds, digital surface models, and 3D models.
WebODM’s processing pipeline produces georeferenced outputs from raw imagery with project-level repeatability.
WebODM ingests drone imagery and runs a photogrammetry pipeline to produce an orthomosaic and a georeferenced point cloud. It supports full processing workflows such as camera alignment, dense reconstruction, mesh generation, and digital surface model output.
- +End-to-end photogrammetry output includes orthomosaic, point cloud, and surface models
- +Export formats support downstream roof workflows like DXF and GeoJSON use cases
- +Batch runs can reuse consistent processing settings across multiple projects
- +Extensibility through containerized deployment and plugin-style processing components
- –Roof-specific measurement outputs require downstream geometry processing and reporting
- –Processing and hardware tuning can take setup, configuration, or governance discipline
- –Workflow orchestration is less tailored than commercial roof analytics tools
- –Long jobs depend on queue capacity and disk throughput during dense reconstruction
Best for: Fits when teams need repeatable photogrammetry processing and exports for custom roof geometry analytics.
Agisoft Metashape
professionalPhotogrammetry software that creates dense clouds, meshes, orthomosaics, and elevation models from drone imagery.
Scripting and batch processing can automate repeated dense reconstruction runs across many roof datasets.
Agisoft Metashape is a photogrammetry workflow tool used for drone-based roof measurement when pixel-accurate 3D reconstruction matters more than turnkey reporting. It supports full image-to-3D pipelines including camera alignment, dense point generation, and 3D mesh reconstruction with export options for downstream CAD and GIS.
- +Photogrammetry pipeline includes camera alignment through dense point generation and mesh building
- +Ground control points and coordinate reference system control support measurement in a defined frame
- +Batch processing and scripting support repeatable photogrammetry runs across multiple projects
- +Exports support feeding downstream DXF and GIS-based roof measurements
- –Roof-quantification automation is not built-in as a single guided measurement workflow
- –Oblique imagery planning and quality tuning often requires operator calibration
- –Processing large datasets can stress workstation hardware and storage throughput
- –Pipeline customization depends on scripting or external tooling for roof-specific metrics
Best for: Fits when teams need photogrammetry-grade 3D inputs and prefer external roof measurement automation.
Mapware
SMBCloud mapping software for processing drone imagery into maps, models, and measurable 3D data.
Area report generation with export-ready DXF and GeoJSON outputs for fast estimating handoff.
Mapware focuses on drone roof measurement with an outcome-first workflow that turns imagery into contractor-ready deliverables. The tool supports orthomosaic and 3D reconstruction processing paths, then routes measurements into area reports for roof work planning.
- +DXF and GeoJSON exports support CAD and GIS handoff workflows
- +Repeatable job configuration reduces measurement inconsistency across projects
- +Roof measurement outputs are organized for estimating and field use
- +Processing pipeline supports both raster and 3D-style deliverables
- –API and automation surface is less documented than competing workflow tools
- –Complex roof geometries can increase manual edge refinement time
- –Flight planning configuration guidance is lighter than full workflow vendors
- –Collaboration controls feel narrower for large multi-discipline teams
Best for: Fits when mid-size roof measurement teams need consistent outputs with CAD and GIS-ready exports.
3DF Zephyr
professionalPhotogrammetry software for reconstructing 3D models from drone and terrestrial photographs.
Project templates that standardize photogrammetry settings for repeated roof reconstructions with consistent export behavior.
3DF Zephyr turns drone imagery into photogrammetry outputs with a focus on repeatable reconstruction workflows. It supports standard inputs like flight logs and common camera models to drive aerial triangulation, point cloud generation, and textured mesh creation.
- +Batch reconstruction pipelines support consistent orthomosaic and mesh outputs across projects
- +DXF export supports direct roof geometry handoff into CAD-based estimate workflows
- +GeoJSON output enables GIS-friendly roof footprint and facet-based reporting
- +Workflow templates reduce setup time when repeating the same roof measurement pattern
- –Roof facet extraction and edge snapping require careful parameter tuning per site
- –Automation centers on batch runs rather than a documented API for external orchestration
- –Ground control point integration and coordinate reference system setup can be error-prone
- –Larger point clouds can increase hardware demand during dense reconstruction steps
Best for: Fits when teams need reliable photogrammetry reconstruction and CAD and GIS exports for roof measurement workflows.
SimActive Correlator3D
enterprisePhotogrammetry software for generating orthomosaics, point clouds, DSMs, and 3D terrain products.
Interactive point-based editing and measurement on dense reconstructed surfaces for roof facet extraction.
SimActive Correlator3D performs 3D point measurement and roof-level extraction by turning imagery into dense geometry and measurable surfaces. It focuses on photogrammetry workflow stages like aerial triangulation and 3D mesh reconstruction, then supports downstream geometry editing for facet-level roof outputs.
- +Operator-guided 3D measurement workflow using dense reconstructed geometry
- +Strong support for georeferencing via coordinate reference system handling and calibration
- +Good fit for roof facet extraction workflows needing measurable geometry edits
- +Exports geared for engineering handoff such as DXF and GeoJSON outputs
- –Workflow depth can add time for teams that only need a report export
- –Less suited to fully automated processing when flights vary in quality
- –Requires disciplined inputs for consistent ground control point usage
- –Integration often depends on project setup and external pipeline tooling
Best for: Fits when roof measurement teams need operator-controlled 3D extraction and engineering-ready exports.
RealityScan
SMBPhotogrammetry software for turning photographs into textured 3D models.
Roof measurement reporting and geometry export driven from a guided photogrammetry workflow.
RealityScan turns drone roof imagery into measurement-oriented 3D outputs using a photogrammetry pipeline.
- +Photogrammetry processing produces measurement-ready roof outputs from captured imagery
- +Exports support downstream review and CAD-style integration with common file types
- +Workflow is oriented around repeatable capture-to-export runs for field consistency
- +Roof-specific measurement outputs reduce manual tracing work on typical projects
- –Less suited to highly custom roof facet editing compared with interactive competitors
- –Data QC controls around capture quality are limited when compared to enterprise tools
Best for: Fits when drone roof measurements need consistent capture-to-deliverable output for standard roof shapes.
Conclusion
After evaluating 10 drone roof measurement software, Hover 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 Drone Roof Measurement Software
Drone roof measurement software turns drone capture into measurement-ready roof geometry and exportable deliverables for estimating and reporting workflows. This guide covers Hover, EagleView, Pix4D, Scanifly, WebODM, Agisoft Metashape, Mapware, 3DF Zephyr, SimActive Correlator3D, and RealityScan.
The main differences come from how each tool treats roof facet extraction, what it exports to CAD and GIS formats, and how much of the workflow is repeatable from project batch settings versus operator-driven editing. Hover is built around measurement-first roof outputs, while EagleView emphasizes production-oriented geometry exports for downstream use.
Drone Roof Measurement Software that converts aerial photogrammetry into report-ready roof geometry
Drone roof measurement software processes drone imagery into reconstructed surfaces and then extracts roof facets to support area measurement, pitch calculations, and edge-derived geometry for deliverables. It typically pairs a photogrammetry pipeline with roof-specific measurement logic and outputs that can feed CAD and GIS steps.
Hover focuses on roof facet extraction that reduces the gap between reconstruction and takeoff reporting deliverables, so multi-roof batches stay consistent with less manual geometry tinkering. EagleView prioritizes report-focused roof outputs with production-oriented DXF and GeoJSON geometry exports, which supports estimating and analytics pipelines when internal formats can map cleanly to its exported geometry.
Drone Roof Measurement Software feature checklist for accurate deliverables
Roof facet extraction determines whether the software turns a reconstructed surface into repeatable roof measurements that match estimating deliverables. Tools that push measurement-first outputs reduce the manual geometry gap between photogrammetry reconstruction and takeoff-style reporting.
Roof facet extraction that supports measurement-ready reporting
Hover converts roof facets into measurement-first outputs that keep multi-roof batches consistent with less geometry tinkering. Scanifly uses rules-driven roof segmentation to drive facet extraction for repeatable measurement exports across project templates.
Export-ready geometry formats for CAD and GIS handoffs
EagleView generates production-oriented DXF and GeoJSON geometry exports that support estimating and analytics pipelines. Pix4D produces measurement-ready geometry exports via DXF and GeoJSON handoffs for CAD and GIS downstream steps.
Repeatable photogrammetry processing pipeline
WebODM produces georeferenced outputs from raw imagery with project-level repeatability through its photogrammetry pipeline. 3DF Zephyr standardizes photogrammetry settings with project templates so orthomosaic and mesh outputs behave consistently across repeated roof reconstructions.
Automation depth versus operator-driven measurement control
Agisoft Metashape supports scripting and batch processing for repeated dense reconstruction runs across many roof datasets. SimActive Correlator3D focuses on operator-guided 3D measurement and dense-surface editing for teams that need controlled roof facet extraction.
Guided roof measurement workflow with standardized deliverables
RealityScan runs a guided photogrammetry workflow that drives roof measurement reporting and geometry export. RealityScan is best suited to consistent capture-to-deliverable outcomes for standard roof shapes rather than heavy custom facet editing.
Choose a drone roof measurement workflow based on repeatability, geometry exports, and control
A reliable decision starts with where each tool places roof facet extraction in the workflow. Hover and Scanifly reduce measurement friction by centering roof measurements on facet logic, while Pix4D and WebODM often require more downstream geometry handling for roof-quantification reporting.
The second decision is about deliverable format discipline and how much the tool helps produce export-ready geometry every time. EagleView and Pix4D emphasize DXF and GeoJSON handoffs, while operator-first systems like SimActive Correlator3D trade automation for interactive extraction control.
Pick the facet-extraction philosophy that matches the roof variability
Choose Hover when measurement-first roof outputs need to stay consistent across multi-roof batches with minimal geometry tinkering. Choose SimActive Correlator3D when dense-surface editing and operator-controlled roof facet extraction are the primary way to handle nonstandard roofs.
Match export geometry formats to the receiving toolchain
Choose EagleView when internal estimating and analytics pipelines need production-oriented DXF and GeoJSON geometry exports. Choose Pix4D when standardized photogrammetry outputs must flow into CAD and GIS steps via DXF and GeoJSON handoffs.
Decide whether the team needs guided reporting or custom roof quantification logic
Choose RealityScan when the goal is guided photogrammetry-to-roof reporting for standard roof shapes with less custom facet editing. Choose Scanifly when repeatable segmentation outputs across similar roofs matter more than fully custom roof quantification logic.
Set throughput expectations for batch processing versus operator time
Choose Agisoft Metashape when automation through scripting and batch dense reconstruction runs drives throughput across many roof datasets. Choose Mapware when consistent area-report generation and export-ready DXF and GeoJSON outputs reduce manual edge refinement time.
Evaluate quality discipline requirements that affect accuracy
Choose WebODM when end-to-end photogrammetry outputs like orthomosaic, point cloud, and surface models must be generated repeatedly with export formats for downstream roof analytics. Choose Pix4D when capture quality and ground control coverage discipline are acceptable tradeoffs for a standardized photogrammetry pipeline.
Who should buy Drone Roof Measurement Software
Drone roof measurement software fits best when roof measurement deliverables must be consistent enough to feed estimating, reporting, and CAD or GIS workflows. The best match depends on whether the team expects measurement-first reporting outputs, rules-based segmentation templates, or operator-led extraction on dense 3D surfaces.
Contractors running multi-roof production batches
Hover is built around measurement-first roof outputs that keep reporting consistent across multi-roof project batches. Scanifly adds rules-based roof segmentation templates that support repeatable facet extraction for similar roofs.
Insurance and estimating teams that standardize deliverables
EagleView emphasizes report-focused roof outputs with DXF and GeoJSON geometry exports that support estimating workflows. Mapware focuses on area report generation with export-ready DXF and GeoJSON outputs for fast handoff.
Teams that need standardized photogrammetry outputs for CAD and GIS downstream
Pix4D produces a repeatable photogrammetry pipeline with aerial triangulation and DXF and GeoJSON exports for CAD and GIS handoffs. 3DF Zephyr standardizes photogrammetry settings with project templates for consistent orthomosaic and mesh behavior.
Engineering teams that require operator control over dense-surface extraction
SimActive Correlator3D provides interactive point-based editing and measurement on dense reconstructed surfaces for operator-guided roof facet extraction. This approach fits teams that trade automation for tighter control of geometry and edge snapping outcomes.
In-house photogrammetry teams that build custom pipelines
Agisoft Metashape supports scripting and batch processing for repeated dense reconstruction runs that can feed external roof measurement automation. WebODM provides end-to-end photogrammetry outputs and export formats that support custom roof geometry analytics beyond guided reporting.
Common pitfalls in Drone Roof Measurement Software selection and rollout
Most failures come from assuming the software handles roof quantification end-to-end with the same level of custom logic each time. Several tools export geometry but leave roof-specific extraction and reporting calculations to downstream workflows. Other failures come from skipping capture-quality discipline that affects reconstruction and roof measurement outputs, especially when teams expect batch automation to compensate for inconsistent flights.
Choosing a photogrammetry pipeline without planning for roof-specific reporting logic
Pix4D and WebODM can generate measurement-ready geometry and photogrammetry outputs, but roof-specific measurement reporting often requires downstream geometry processing and reporting. Confirm the extraction path from exported geometry to area reports and pitch calculations before committing to a workflow.
Treating operator editing as a substitute for segmentation rules on repeatable roofs
RealityScan can produce consistent capture-to-deliverable output for standard roof shapes, but it is less suited for highly custom roof facet editing. Choose Scanifly when segmentation template repeatability is the primary way to control roof facet extraction.
Assuming accuracy will hold without capture and ground control discipline
Pix4D accuracy is sensitive to capture quality and ground control coverage discipline when ground control is part of the workflow. Scanifly best results depend on consistent flight logs and clean capture overlap, so template repeatability cannot compensate for inconsistent capture.
Underestimating the extra edge refinement time on complex roof geometries
Mapware supports fast estimating handoff via area report generation and export-ready DXF and GeoJSON outputs, but complex roof geometries can increase manual edge refinement time. Hover reduces the geometry gap for multi-roof batches, but highly custom CAD mapping can still require post-processing outside Hover.
Assuming automation depth will transfer to external orchestration
3DF Zephyr emphasizes batch reconstruction pipelines and project templates rather than a documented API surface for external orchestration. Mapware has a less documented automation surface than workflow-focused tools, which can force manual configuration work when scaling beyond internal use.
How We Selected and Ranked These Tools
We evaluated Hover, EagleView, Pix4D, Scanifly, WebODM, Agisoft Metashape, Mapware, 3DF Zephyr, SimActive Correlator3D, and RealityScan using features 40%, ease 30%, and value 30%. We treated roof facet extraction and the gap between reconstruction and measurement-ready reporting as the primary differentiator for deliverable consistency.
We ranked Hover highest because roof facet extraction is measurement-first and stays consistent across multi-roof project batches with less geometry tinkering after reconstruction. We also weighted export-ready geometry for CAD and GIS handoffs heavily since EagleView and Pix4D both center DXF and GeoJSON outputs for downstream workflows.
Frequently Asked Questions About Drone Roof Measurement Software
How do Hover and EagleView differ in turning roof reconstruction into measurement exports?
Which tool is better when teams need batch processing across many sites with repeatable exports?
When does Scanifly’s rules-based roof segmentation reduce rework compared with Pix4D?
What breaks if WebODM processing runs are not configured for georeferencing consistency across a project?
Which workflow is more suitable for CAD-ready geometry handoff using DXF and GeoJSON?
How do SimActive Correlator3D and Agisoft Metashape differ in operator control for roof facet extraction?
Which tools handle RTK or PPK positioning inputs more directly in the photogrammetry pipeline?
What admin controls and collaboration controls matter when multiple teams run the same roof measurement templates?
How do data migration and automation differ between Hover and WebODM when integrating with a downstream measurement pipeline?
Which tool is better when the main requirement is guided capture-to-deliverable generation instead of interactive facet remodeling?
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
- Construction InfrastructureTop 10 Best Roof Measurement Software of 2026
- Technology Digital MediaTop 10 Best Drone Roof Measuring Software of 2026
- Construction InfrastructureTop 10 Best Drone Roof Inspection Software of 2026
- Construction InfrastructureTop 10 Best Aerial Roof Measurement Software of 2026
- Data Science AnalyticsTop 10 Best Drone Photogrammetry Software of 2026
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