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General KnowledgeTop 10 Best Cao Software of 2026
Top 10 best cao software options ranked by modeling tools, pricing, and export workflows, with practical tradeoffs for engineers and designers.
How we ranked these tools
Vendors set the topic, but our editors set the inclusion criteria and the evaluation framework before research starts.
Search agents gather the source set and the review record, including transcriptions of video reviews and podcasts.
Framework: Features 40% · Ease 30% · Value 30%
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Onshape is the best fit for cloud-centered teams that need browser CAD plus revision-linked drawings for reliable collaboration, whereas FreeCAD works best if you want scriptable, repeatable parametric geometry workflows with a flexible, open-source approach.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
Onshape
Branch and version control for CAD models with history-aware collaboration in the browser.
Best for: Fits when teams need cloud CAD collaboration with branching, versioning, and revision-linked drawings.
FreeCAD
Editor pickPython scripting can drive the document object model for batch modeling and repeatable geometry edits.
Best for: Fits when teams need parametric CAD with scriptable, repeatable geometry workflows.
Rhino
Editor pickGrasshopper lets parametric geometry generation and batch regeneration run from a single visual dependency graph.
Best for: Fits when geometry-centric teams generate many design variants and need controlled CAD handoffs to external analysis tools.
Comparison Table
Onshape
API-firstOnshape is a browser-based parametric CAD and product data management platform.
Branch and version control for CAD models with history-aware collaboration in the browser.
Onshape’s collaboration model is built for CAD teams that need shared geometry with controlled change. Branching and versioning support parallel workstreams and make it possible to roll forward or compare revisions when parts and assemblies move together. Onshape also provides configuration and drawing outputs that stay tied to the model state, which reduces manual rework during design iteration.
A tradeoff exists in the analysis depth versus standalone CAE tools, since solver-intensive workflows often require external tools. Onshape fits teams that need frequent multi-user edits, CAD-to-manufacturing handoffs, and a managed digital thread across parts, assemblies, and revisions.
- +Branch and version workflows keep shared CAD changes reviewable
- +Assembly constraints and feature history remain consistent across collaborators
- +Model-linked drawings reduce rework during revision cycles
- +Strong CAD import and export supports manufacturing and tooling handoffs
- –Advanced CAE workflows depend on external solver tooling
- –Some edge-case geometry repair paths still require manual intervention
- –High model complexity can reduce interactive responsiveness
- –External automation needs API work rather than built-in templates
Mechanical engineering teams
Co-edit assemblies across multiple workstreams
Fewer revision conflicts
Product design leads
Release parts with controlled revisions
Repeatable releases
Show 2 more scenarios
Manufacturing engineering
Handoff CAD for downstream tooling
Lower re-import work
Exported models maintain geometry fidelity for CAM and documentation pipelines.
Hardware platform teams
Standardize configurable components
Faster variant creation
Configurations and assembly constraints support reusable part families across variants.
Best for: Fits when teams need cloud CAD collaboration with branching, versioning, and revision-linked drawings.
FreeCAD
SMBFreeCAD is an open-source parametric 3D modeler for mechanical engineering and general design.
Python scripting can drive the document object model for batch modeling and repeatable geometry edits.
FreeCAD’s parametric modeling is implemented through editable features in a tree, which enables controlled design iteration without reauthoring geometry. Workbenches separate tasks such as sketching, 3D modeling, and utilities, and they can be added or swapped to fit specific processes. Geometry exchange supports common neutral formats like STEP and IGES for downstream handoffs and supports mesh workflows through STL import and export.
A practical tradeoff is that some higher-end CAE flows depend on external solver integrations or add-ons, which can make end-to-end engineering pipelines less consistent than dedicated CAE suites. FreeCAD fits teams that need repeatable CAD authoring automation, geometry translation, and scripting-driven geometry generation for prototypes and engineering documentation.
- +Parametric feature tree keeps design intent editable across revisions
- +Workbench architecture supports task-specific tooling and add-on growth
- +Python API enables scripted modeling and batch geometry creation
- +Neutral format import and export supports STEP and IGES handoffs
- –Workbench and add-on coverage can vary by workflow and version
- –Advanced CAE-style automation often requires external solver integration
Product engineering teams
Iterate parametric mechanical parts quickly
Fewer rebuild errors during changes
Industrial design toolmakers
Automate geometry generation from parameters
Repeatable variants with less manual work
Show 2 more scenarios
Engineering documentation teams
Translate CAD across teams and vendors
More reliable downstream reuse
Neutral exports support STEP and IGES handoffs for model-based definitions.
Research analysts
Prototype CFD-ready meshes and fixtures
Faster preprocessing for tests
Mesh import and export workflows support preparing simple geometries for solvers.
Best for: Fits when teams need parametric CAD with scriptable, repeatable geometry workflows.
Rhino
specialistRhino provides NURBS modeling for industrial design, architecture, jewelry, marine design, and fabrication.
Grasshopper lets parametric geometry generation and batch regeneration run from a single visual dependency graph.
Rhino’s core workflow centers on surface and solid modeling tools that give predictable control over curves, trims, and surfaces, which is useful for geometry you intend to iterate repeatedly. Grasshopper provides node-based automation for generating geometry from parameters, and it can run in a deterministic graph that supports batch-style regeneration. Rhino scripts and add-ons can automate repetitive tasks like naming conventions, layer operations, and export pipelines. Rhino’s import and export coverage supports common CAD handoffs, including STEP and STL, which reduces translation work between design and manufacturing stages.
A tradeoff appears when teams need solver-specific preprocessing features or built-in multidisciplinary optimization loops, since Rhino and Grasshopper mainly prepare geometry and drive model generation rather than run end-to-end CAO optimization. A strong usage situation is geometry-heavy CAD-adjacent work where model variants must be generated and validated quickly before passing data to external analysis or CAD/CAM tools. Another situation is when an organization already standardizes geometry exports and needs automation to keep large variant sets consistent across revisions.
- +Grasshopper graphs regenerate geometry reliably from parameters
- +RhinoPython scripting automates exports and geometry cleanup
- +NURBS surfacing tools support precise control of trims and fillets
- +STEP and STL exchange reduce handoff friction
- –Solver-specific preprocessing is limited and often requires external tools
- –Large parametric graphs can slow regeneration and increase troubleshooting time
Mechanical design teams
Variant creation for simulation-ready parts
Faster model iteration for analysis
Digital prototyping studios
High-control surface design pipelines
Cleaner handoffs to downstream tools
Show 1 more scenario
Manufacturing engineers
STL export workflows for CAM
Lower export workload
Automated export scripts reduce manual steps when producing tolerance-focused mesh deliverables.
Best for: Fits when geometry-centric teams generate many design variants and need controlled CAD handoffs to external analysis tools.
AutoCAD
enterpriseAutoCAD provides 2D drafting and 3D modeling for architecture, engineering, manufacturing, and construction.
Dynamic Blocks plus constraint-based drawing behavior inside AutoCAD’s drafting environment.
AutoCAD is a CAD authoring tool that focuses on 2D drafting and annotation with strong interoperability around DXF and DWG workflows. It supports parametric-friendly drawing practices via dynamic blocks, constraint-driven geometry creation, and repeatable toolsets for common documentation tasks.
- +Dynamic Blocks reduce manual edits across standard drawing components
- +DWG and DXF import and export supports frequent cross-tool exchanges
- +AutoLISP and .NET add-ins enable custom commands and batch drawing changes
- +Sheet templates and plot configurations standardize deliverables across teams
- –Governance controls for enterprise rollouts are lighter than dedicated CAO suites
- –Large assemblies and heavy modeling workflows can outperform in other tools
- –API customization requires development skill to maintain and test add-ins
- –Geometry healing and model-based validation are limited compared to analysis-first CAO
Best for: Fits when teams need controlled 2D drawing automation with DWG interoperability and custom add-ins.
SOLIDWORKS
enterpriseSOLIDWORKS delivers parametric 3D mechanical design with simulation, documentation, and product data tools.
SOLIDWORKS Simulation combines CAD-linked study setup and result-driven iteration without leaving the authoring environment.
SOLIDWORKS provides parametric modeling with feature trees, mate-based assemblies, and drawing generation from model data.
- +Parametric feature history keeps design intent traceable through revisions
- +Tight assembly constraints reduce mate errors during iterative changes
- +Integrated FEA workflow shortens the gap from geometry to results
- +Export support covers common CAD and manufacturing exchange formats
- –Large assemblies can slow down workstation performance without tuning
- –Advanced simulation setups can require expertise beyond basic analysis
- –Enterprise governance depends on IT deployment discipline and licensing setup
- –Direct modeling stays limited for complex feature-driven histories
Best for: Fits when engineering teams need parametric CAD and integrated simulation in a single authoring workflow.
Siemens NX
enterpriseSiemens NX combines CAD, CAM, and CAE capabilities for advanced product engineering and manufacturing.
NX provides history-aware editing across parametric and direct modeling so geometry changes propagate through modeling and downstream CAE-ready structures.
Siemens NX serves design and manufacturing teams that need one CAD and CAE environment for rigorous engineering geometry and solver-grade analysis. NX supports parametric feature-based modeling, direct modeling, and large-assembly workflows with history-aware edits and process-aware management of model changes.
- +Strong parametric feature control for controlled design iterations
- +History-aware edits that reduce downstream redesign churn
- +Mature CAE workflow support for mesh generation and solver coupling
- +Advanced assembly performance for complex, multi-part product structures
- –Learning curve is steep for teams without prior NX or CAD/CAE experience
- –Automation depends heavily on Siemens extensibility tooling and scripting patterns
- –Integration breadth across non-Siemens toolchains can require custom work
- –Governance for multi-team environments needs deliberate admin and model standards
Best for: Fits when engineering teams require parametric CAD accuracy and solver-ready simulation inside one workstation workflow.
Creo
enterpriseCreo provides parametric, direct, and generative design tools for mechanical product development.
Model-based definition with geometry-linked annotations that preserve manufacturing communication through model edits.
Creo from PTC pairs parametric and direct modeling workflows with model-based definition tools for geometry-driven manufacturing communication. The software centers on feature modeling, assembly constraints, and annotation behaviors that maintain intent across edits.
- +Keeps design intent across edits using feature history and parametric constraints
- +Model-based definition annotations stay tied to model geometry through changes
- +Strong lifecycle integration supports engineering changes and configuration control
- +Extensible automation surface supports scripted and integrated engineering workflows
- –Deep feature history can slow regeneration on large assemblies
- –Geometry healing and import quality often require cleanup steps after neutral-file exchange
- –Automation requires disciplined configuration of interfaces and add-ons
- –Advanced setup for governance and roles takes time in enterprise deployments
Best for: Fits when engineering teams need change-tolerant CAO authoring with lifecycle control and automation.
DraftSight
SMBDraftSight provides professional 2D drafting and 3D design with DWG file compatibility.
Command-line drafting with parametric inputs for repeatable edits across complex DWG and DXF drawings.
DraftSight targets 2D CAD workflows with DWG and DXF exchange plus sketch, dimensioning, and drafting commands that support day-to-day production drawings. The tool supports sheet setup with title blocks, viewports, and plotting so teams can generate consistent deliverables from CAD files.
- +Strong DWG and DXF interoperability for exchange with existing CAD ecosystems
- +Command line workflow supports fast repeated drafting and scripted-like execution
- +Sheet setup features cover title blocks, viewports, and repeatable plotting
- +Blocks and Xrefs support maintainable drawing assemblies for production updates
- –2D-first feature set limits it for advanced CAE solver coupling and meshing
- –Automating batch edits across many files depends on external scripting, not built-in API tooling
- –Model health and repair tooling are less comprehensive than dedicated geometry pipelines
- –Advanced customization and admin governance for large rollouts are limited
Best for: Fits when teams need 2D drafting and consistent sheet plotting with CAD file exchange.
Dassault Systèmes SIMULIA
enterpriseMultiphysics simulation suite including Abaqus for structural and thermal finite element analysis.
Abaqus ecosystem support for sophisticated non-linear contact and material behavior within governed, repeatable simulation runs.
Dassault Systèmes SIMULIA runs finite element analysis and coupled simulation workflows through Abaqus and related solvers, with tight support for non-linear material behavior and contact mechanics. It also supports geometry import and model preparation for analysis through CATIA-to-simulation connectivity and common CAD exchange paths used in engineering data flows.
- +Abaqus workflows cover non-linear contact, material models, and complex loading histories
- +Strong solver coupling support for multidisciplinary simulations
- +Repeatable job automation for parameter studies and controlled batch runs
- +Enterprise governance alignment with audit-ready simulation setup artifacts
- –Deep simulation setup requires engineering discipline and specialist training
- –CAD-to-analysis transitions can still need manual repair for problematic geometry
- –Automation breadth depends on correct orchestration configuration across teams
- –Out-of-the-box UX for new analysis types is limited without established templates
Best for: Fits when engineering teams need governed, repeatable FEA with multidisciplinary coupling and solver-grade control.
COMSOL Multiphysics
enterprisePhysics-based simulation platform for coupled multiphysics modeling and solver customization.
A single multiphysics model supports coupled solver configurations across interacting physics interfaces.
COMSOL Multiphysics is a CAE suite for coupled physics work where one model can link multiple solvers and physics interfaces. It centers on finite element analysis workflows with parametric studies, geometry/mesh controls, and multiphysics coupling built into the modeling process.
- +Multiphysics coupling built into the same model tree and solver sequence
- +Tunable meshing controls with local refinement and scripted parametric runs
- +Batch processing for parameter sweeps across multiple studies
- +Extensible scripting for automating pre and post processing tasks
- –Model setup complexity can slow teams without CAE domain experience
- –Collaboration depends on file sharing and environment consistency
- –Interoperability with lightweight CAD formats can require cleanup steps
- –Automation and integration depth are limited outside COMSOL’s workflow
Best for: Fits when teams need tightly coupled CAE workflows and repeatable parametric study execution.
Conclusion
After evaluating 10 cao software, Onshape 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 Cao Software
This buyer’s guide covers computer-aided optimization software with ten named options, including Onshape, FreeCAD, and Rhino for CAD-driven workflows, plus SIMULIA and COMSOL Multiphysics for solver-grade optimization and multiphysics studies.
The selection focuses on how each tool handles branching and version review for CAD models, how parametric generation and repeatable edits are automated, and how simulation coupling is governed from setup through reruns. Covered tools also differ in whether CAE-style iteration stays inside the authoring environment or relies on external solver tooling.
CAO Software buyer’s guide: CAD-to-optimization workflows, automation, and solver coupling
CAO software supports computer-aided optimization workflows by combining parametric modeling, study configuration, and repeatable iteration so design candidates can be generated, evaluated, and revised with traceable dependencies. In practice, CAO work often hinges on whether CAD history and change propagation remain consistent across collaborators and whether geometry regeneration can run reliably for batch study runs.
Onshape targets cloud CAD collaboration with history-aware branching and revision-linked drawings, which helps teams keep optimization inputs synchronized across iterations. FreeCAD emphasizes Python scripting that can drive its document object model for batch modeling and repeatable geometry edits, which is useful when optimization requires controlled, scriptable generation steps and repeatable cleanup before analysis handoff.
CAO buyer criteria: automation, change control, and solver-coupling control
CAO software succeeds when CAD change propagation stays traceable across iterations so optimization runs do not drift from the geometry that generated the results. Teams typically need either history-aware collaboration for CAD edits or scriptable regeneration for repeatable study candidate generation.
The next layer is automation and solver coupling. Tools must support controlled geometry exports, batch runs, and consistent study setup so finite element analysis and multiphysics workflows rerun without manual cleanup each time the design changes.
Branching and revision-linked CAD inputs
Onshape uses browser-native branch and version workflows so CAD model changes stay reviewable and revision-linked drawings follow the same history. This is the category’s most direct fit for teams coordinating optimization inputs across multiple contributors.
Scriptable document object model for batch geometry edits
FreeCAD drives repeatable geometry updates through Python scripting that can operate on the document object model. This supports CAO workflows that require scripted variant generation, repeatable cleanup, and deterministic exports before analysis.
Visual parametric generation with controlled regeneration
Rhino couples Grasshopper’s parameter-driven graphs with reliable regeneration so design candidates can be produced from controlled dependencies. RhinoPython scripting then automates exports and geometry cleanup for handoff to external analysis tools.
CAD-linked simulation authoring inside the modeling environment
SOLIDWORKS Simulation keeps study setup linked to the CAD authoring workflow so design iteration can remain inside one environment. This helps teams maintain traceability from parametric feature history to simulation-ready studies during iteration.
Multiplying physics coupling and repeatable solver sequences in one model
COMSOL Multiphysics uses a single multiphysics model tree that drives coupled solver configurations and repeatable parametric study execution. Its tunable meshing controls support local refinement and scripted parametric runs for tight CAE loops.
Governed FEA workflows aligned to solver-grade material and contact models
SIMULIA provides an Abaqus ecosystem focus that supports non-linear contact and material behavior in governed, repeatable simulation runs. This is a fit when multidisciplinary optimization needs solver-grade control rather than general-purpose CAD-linked analysis.
How to choose CAO Software: decide where optimization iteration is executed
CAO buyers should first decide where iteration runs: inside a CAD authoring environment with history control, inside a scriptable modeling document model, or inside a solver-grade simulation workspace. The choice determines how geometry regeneration behaves across repeated study reruns.
Next, buyers should match solver coupling depth to the workflow reality. Some tools keep CAD-to-analysis setup tightly linked, while others focus on automation and leave advanced CAE execution to external tooling, which changes the governance model for optimization candidate generation.
Pick the iteration locus: CAD history control or scriptable geometry generation
Choose Onshape when iteration depends on branch and version workflows that keep CAD edits reviewable and revision-linked drawings consistent across collaborators. Choose FreeCAD when iteration depends on Python-driven document object model edits that need repeatable batch modeling and deterministic regeneration.
If geometry variants come from parameter graphs, use Grasshopper-driven regeneration
Choose Rhino when optimization candidates are produced by Grasshopper parameter graphs that regenerate geometry from a controlled dependency network. Expect large parametric graphs to slow regeneration and raise troubleshooting time when the graph grows beyond small study spaces.
Match CAE coupling depth to how often studies change with design intent
Choose SOLIDWORKS Simulation when study setup must stay tightly coupled to CAD and be driven by parametric feature history during iterative changes. Choose SIMULIA when optimization requires solver-grade non-linear contact and material models in governed, repeatable runs even if CAD-to-analysis transitions need geometry repair.
Choose workflow governance based on deployment and automation expectations
Choose NX when geometry changes must propagate through history-aware editing across parametric and direct modeling so downstream CAE-ready structures remain consistent. Choose COMSOL Multiphysics when coupled physics must live in a single model tree with repeatable solver sequences for parametric studies.
Verify whether the tool fits CAO’s 2D automation and DWG exchanges or full 3D study loops
Choose AutoCAD or DraftSight when the optimization input pipeline heavily depends on DWG and DXF interoperability and 2D drawing automation. Expect DraftSight to limit advanced CAE solver coupling and meshing because its set is 2D-first and batch automation depends on external scripting.
Stress-test large assemblies and regeneration performance for the design space size
Choose SOLIDWORKS or NX only after confirming workstation tuning for large assemblies since workstation performance can degrade without tuning. Choose Creo only after validating regeneration speed on large assemblies because deep feature history can slow regeneration and import quality can require cleanup after neutral-file exchange.
Who should buy each CAO option
Different CAO teams struggle at different points. Some teams fail at coordinating CAD edits across optimization iterations, while others fail at generating and exporting repeatable geometry variants into solver workflows.
The right fit depends on whether optimization iteration depends on collaboration and revision control, on scripted geometry regeneration, or on multiphysics solver coupling and governed simulation runs.
Product and engineering teams running collaborative optimization with multiple contributors
Onshape fits teams that need browser-based CAD collaboration with branch and version workflows so optimization inputs remain tied to revision-linked drawings. This reduces confusion when multiple contributors iterate geometry and study inputs.
CAO teams building repeatable variant pipelines that must be scripted and audited
FreeCAD fits teams that need Python scripting to operate on the document object model for batch modeling and repeatable geometry edits. This helps when the same geometry transformation must run across many study candidates with consistent exports.
Geometry-centric teams generating many variants from parameter-driven graphs
Rhino fits teams that rely on Grasshopper’s visual dependency graphs to regenerate geometry from parameters. RhinoPython scripting then supports export automation and geometry cleanup for external analysis handoffs.
Engineering teams that need simulation setup to stay linked to CAD feature history
SOLIDWORKS fits teams that want SOLIDWORKS Simulation to author studies in the same environment as the CAD changes. Tight assembly constraints can reduce mate errors during iterative changes.
Organizations standardizing on solver-grade non-linear behavior and governed simulation runs
SIMULIA fits teams that require Abaqus ecosystem support for non-linear contact and material behavior with governed, repeatable simulation runs. CAD-to-analysis transitions still may require manual geometry repair for problematic geometry.
Common CAO buying mistakes
Buyers frequently pick tools based on modeler familiarity rather than the automation and governance mechanisms required by repeated optimization loops. Another common failure is selecting a tool that handles CAD revision control well but leaves batch geometry regeneration and solver coupling to external ad hoc scripts.
The result is avoidable geometry drift, inconsistent study candidates, and extra manual repair each time the design space expands or the assembly size grows.
Assuming CAD collaboration features automatically cover optimization governance and study reruns
Onshape’s branch and version workflows help keep CAD changes reviewable, but advanced CAE workflows still depend on external solver tooling when you need solver-grade runs. Buyers should validate the full rerun chain from geometry regeneration to solver execution.
Treating scripted CAD regeneration as enough without validating solver-ready preprocessing
RhinoPython automation can export and clean geometry, but solver-specific preprocessing is limited and often requires external tools. Teams should test preprocessing steps early when parameter graphs grow or when exports must satisfy strict solver constraints.
Choosing a 2D drafting tool as the core of an optimization candidate pipeline
DraftSight supports command-line drafting and strong DWG and DXF interoperability, but its 2D-first feature set limits advanced CAE solver coupling and meshing. Buyers should keep CAE meshing and solver coupling out of scope unless a dedicated CAE tool is already planned.
Underestimating regeneration and performance bottlenecks on large assemblies
Creo’s deep feature history can slow regeneration on large assemblies and NX learning curve can slow adoption for teams without prior experience. Buyers should run pilot optimization loops that match expected assembly size and number of candidate variants.
Buying an in-environment simulation workflow without matching the required physical models
SOLIDWORKS Simulation can help author CAD-linked studies without leaving the authoring environment, but advanced simulation setups can require expertise beyond basic analysis. Buyers should validate that the needed non-linear contact, material behavior, or multidisciplinary coupling exists in the planned workflow.
How We Selected and Ranked These Tools
We evaluated Onshape, FreeCAD, Rhino, AutoCAD, SOLIDWORKS, Siemens NX, Creo, DraftSight, SIMULIA, and COMSOL Multiphysics across CAD change control, automation and repeatable candidate generation, and integration depth from modeling to solver execution. Features carried the largest weight at 40% because tools differ most in branching and versioning behavior, parametric regeneration methods, and the presence of integrated simulation workflows.
Ease and value each carried 30% because browser collaboration patterns, scripting ergonomics, and practical performance on large assemblies change how quickly teams can rerun optimization studies. Onshape earned the top rank because history-aware branch and version collaboration in the browser directly supports reviewable CAD changes for optimization input management while keeping iteration traceable through revision-linked drawing outputs.
Frequently Asked Questions About Cao Software
How do Onshape and SOLIDWORKS manage CAD change history during collaboration?
Which toolchain works best for exporting CAD geometry to solver-grade workflows with minimal rework?
How does FreeCAD handle automation for batch modeling and repeatable geometry edits?
When is Rhino a better fit than Onshape for parametric design-space exploration?
What breaks if a team expects AutoCAD to function as a 3D feature-based CAD authoring system?
How do SIMULIA and COMSOL differ in solver coupling and workflow orchestration for multi-physics studies?
How does Creo keep manufacturing communication consistent after geometry edits?
Which integration surface helps admins and developers automate geometry and drawing tasks at scale?
What security and governance controls exist in Siemens NX compared with Onshape for controlled engineering environments?
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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