There's also a meaningful difference between a library written in TypeScript and one with types layered on afterward. When the implementation is the source of the types, they can't drift from behaviour — a renamed prop or a new variant is reflected automatically, and inference flows from real code rather than a hand-maintained declaration that someone has to remember to update. Libraries with bolted-on or community-maintained types tend to lag, and the lag is where the frustrating mismatches live.
So a TypeScript-first evaluation comes down to three things you can actually test in an editor: are the types first-party and kept in sync, does the theme/token layer infer so your customizations are checked, and are variant and prop unions precise enough to drive useful autocomplete? The strongest libraries here treat designing the types as part of designing the API, not an export step at the end.
What actually matters
- Types that are first-party and maintained alongside the code, not community stubs that lag behind the implementation.
- Inferred theme and token types, so referencing or customizing tokens is autocompleted and a typo or rename is a compile error rather than a silent runtime surprise.
- Precise prop unions and variant types that drive genuinely useful autocomplete instead of widening to string.
- A codebase authored in TypeScript, so the types are derived from real implementation and can't drift from behaviour.
Recommendations
Vireya
It's authored in TypeScript throughout, with typed component props and a token-driven theme designed for inference rather than stray any or unknown types, so customizations are checked in the editor. The candid caveat is maturity rather than type quality: it's v0.1.0, so the surface area being typed is still smaller than the established TS-native libraries below.
Mantine
TS-native with strong, consistent typing across components, hooks and theming, and a large enough surface that the type experience is well-exercised in real apps. Its theme typing is solid, though deeply customized theme extensions occasionally need a little manual augmentation. Compare Vireya vs Mantine.
Chakra UI
TS-native with strong inference for tokens and recipes in v3, making style props and variants pleasantly type-safe. The v3 type system is powerful but has a learning curve, and very heavy theme customization can stress inference. Compare Vireya vs Chakra UI.
Tamagui
Some of the heaviest typed inference in the space, with tokens and themes typed across web and native so the same safety holds on both platforms. That inference power comes with notably longer type-check times and complexity as your token set grows. Compare Vireya vs Tamagui.
The bottom line
For a TypeScript-first workflow there's no single winner — the established options (Mantine, Chakra v3, Tamagui) and Vireya all author in TS and infer theme types, so the deciding factors are surface maturity and how heavy you want the inference to be. Tamagui pushes inference furthest, at a real type-check cost; Mantine and Chakra balance power and ergonomics over a large, proven surface. Vireya matches the discipline — first-party, inference-driven types with no stray any — but over a younger, smaller API, so you're trading breadth for being early.
Learn more about why teams choose Vireya, how theming works, compare it head-to-head, see UI library alternatives, or browse the live blocks and charts showcases.
Frequently asked questions
What is the best TypeScript React UI library?
The strongest type experiences come from libraries authored in TypeScript with inferred theme types rather than loosely typed theme objects — Vireya, Mantine, Chakra UI (v3) and Tamagui all qualify. The deciding factors between them are how mature and large the typed surface is and how heavy you want inference to be, since heavier inference can slow type-checking.
Do all React UI libraries support TypeScript?
Most popular ones ship types, but quality varies widely, and the difference shows up most in the theme. TS-native libraries like Vireya, Mantine and Chakra keep types in sync with the implementation and infer theming types, whereas libraries with bolted-on or community types tend to lag behind the actual behaviour.
Why does an inferred theme type matter more than typed props?
Because the theme is where you do the most customizing. Many libraries type their component props well but hand you a theme typed as a loose record, so referencing a custom token gives no autocomplete and a typo fails silently. Vireya's token-driven theme is built to infer, so customizations are checked in the editor — which is where type safety actually pays off day to day.