A question buyers ask AI

Which prototyping tools can handle large design systems with shared components and tokens without slowing down on big files?

Measured in 1 answer, last on Nov 10, 2026. Only the passages that name a brand are shown.

Brands in the answers

BrandNamed inRecommended inPositiveAvg. position
Figma100%100%100%—
UXPin100%100%100%—
Sketch100%100%100%—
Axure RP100%0%0%—
Penpot100%0%100%—

Where each answer names a brand

Answer 1 · Nov 10, 2026 · 5 sources cited
FigmaRecommendedSite citedpositive
“Figma is probably the strongest all-round choice for large collaborative design systems.”
+ shared component libraries

“Shared component libraries across projects and teams.”

+ design tokens

“Variables and collections for design tokens.”

+ themes and brands

“Multiple modes for light/dark themes and different brands.”

+ nested components and variants

“Nested components, variants, and component properties.”

+ prototyping and collaboration

“Auto Layout and interactive prototyping.”

+ performance improvements

“Its 2025 design-system rewrite improved variable and mode operations by 30–60%.”

+ overall balance

“Best balance of collaboration, design-system management, prototyping, and scalability.”

− performance with extremely large files

“One caveat: Figma can still struggle with extremely large files.”

UXPinRecommendedSite citedpositive
“UXPin takes a different approach: rather than recreating your design system visually, you can bring actual coded components into the prototyping environment.”
+ production-connected components

“Reusable production components.”

+ React and Git integration

“React components from Git repositories.”

+ Storybook integration

“Storybook integration.”

+ design-to-code consistency

“One of the strongest choices when design-to-code consistency matters more than traditional visual design flexibility.”

Axure RPSite citedmixed
“Axure is particularly good at complex interactions and functional prototypes.”
+ complex interactions

“Axure is particularly good at complex interactions and functional prototypes.”

+ reusable widgets

“Reusable widgets and component libraries.”

+ conditional logic

“Conditional logic.”

− design-system management

“However, it isn't my first recommendation for managing a large token-driven design system.”

− performance with large files

“Large Axure files can also become slow, particularly when they contain extensive dynamic panels, repeaters, and nested states.”

PenpotSite citedpositive
“Penpot is particularly interesting for teams that want design tokens to be a first-class part of their workflow.”
+ native design tokens

“Native design tokens.”

+ token sets and themes

“Token sets and themes.”

+ shared token sources

“Shared token sources across files.”

+ CSS-oriented layouts

“CSS-oriented layouts using Flexbox and Grid.”

+ open-source workflows

“Excellent for teams prioritizing open-source workflows, token portability, and shared libraries.”

− large library performance

“Penpot recommends splitting large component libraries into smaller, more manageable files.”

SketchRecommendedSite citedpositive
“Sketch is worth considering if your team works primarily on macOS.”
+ shared libraries

“Shared Libraries across multiple documents.”

+ reusable components

“Reusable Symbols and nested components.”

+ styles and variables

“Color Variables, Text Styles, and Layer Styles.”

+ native Mac performance

“Its native Mac application is also an advantage for teams that prefer working outside a browser.”

+ performance improvements

“Its changelog reports approximately twice-as-fast instance resizing and significantly faster library replacement.”

Sources the answers cite

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