COMPARISON · VALIDATION

@sinclair/typebox vs. yup

Side-by-side comparison · 9 metrics · 15 criteria

@sinclair/typebox v0.34.49 · MIT
Weekly Downloads
47.8M
Stars
8
Gzip Size
14.2 kB
License
MIT
Last Updated
4mo ago
Open Issues
1
Forks
0
Unpacked Size
1.9 MB
Dependencies
1
yup v1.7.1 · MIT
Weekly Downloads
5.7M
Stars
23.7K
Gzip Size
14.2 kB
License
MIT
Last Updated
8mo ago
Open Issues
241
Forks
939
Unpacked Size
270.4 kB
Dependencies
4
DOWNLOAD TRENDS

@sinclair/typebox vs yup downloads — last 12 months

Download trends for @sinclair/typebox and yup2 download series from Jun 2025 to May 2026. Use left and right arrow keys to inspect monthly values.0109.8M219.5M329.3M439.1MJun 2025SepDecMarMay 2026
@sinclair/typebox
yup
FEATURE COMPARISON

Criteria — @sinclair/typebox vs yup

API Style
@sinclair/typebox
Leverages TypeScript's type system and utility types for schema definition.
yup
Employs a readable, method-chaining syntax for defining validation rules.
Learning Curve
@sinclair/typebox
Potentially steeper for those unfamiliar with advanced TypeScript, but intuitive for TypeScript experts.
yup
Generally low, with a straightforward, declarative API easy to grasp quickly.
Codebase Origin
@sinclair/typebox
Rooted in a TypeScript-first philosophy, ensuring type safety.
yup
Originates from a JavaScript-centric design, offering broad JS ecosystem compatibility.
Runtime Overhead
@sinclair/typebox
Minimal, optimized for performance through static analysis.
yup
Low, but presents more runtime evaluation compared to TypeBox's static approach.
Declarative Syntax
@sinclair/typebox
Implicitly declarative through TypeScript type constructs.
yup
Explicitly declarative via a fluent method-chaining API.
Immutability Focus
@sinclair/typebox
Designed with immutability in mind, aligning with functional programming principles.
yup
Supports immutability patterns but is not its primary architectural driver.
Bundle Size Efficiency
@sinclair/typebox
Extremely minimal, designed for performance-critical applications and small footprints.
yup
Highly optimized and compact, suitable for most web applications.
Maturity and Ecosystem
@sinclair/typebox
A modern solution with growing adoption, aligned with current TypeScript practices.
yup
A mature and widely adopted library with a vast community and extensive track record.
Integration Flexibility
@sinclair/typebox
Excellent in TypeScript projects; JSON Schema output allows integration with non-TS environments.
yup
Highly flexible within JavaScript environments; extensive tooling and community support.
Type System Integration
@sinclair/typebox
Deeply integrated with TypeScript, enabling schema generation from types for enhanced compile-time safety.
yup
Primarily JavaScript-based, with added TypeScript support but not fundamentally driven by TypeScript types.
JSON Schema Compatibility
@sinclair/typebox
Outputs standard JSON Schema, facilitating interoperability with other tools and systems.
yup
Internal schema representation, not directly compatible with external JSON Schema tools.
Error Handling Granularity
@sinclair/typebox
Leverages JSON Schema error reporting, which can be detailed.
yup
Provides a well-structured and customizable error reporting API.
Schema Definition Paradigm
@sinclair/typebox
Generates JSON Schema from TypeScript types, promoting a single source of truth.
yup
Uses a fluent, chainable API for declarative schema construction in JavaScript.
Runtime vs. Compile-time Focus
@sinclair/typebox
Strong emphasis on static type resolution and compile-time checks derived from TypeScript.
yup
Focuses on robust runtime validation with a clear and expressive API for defining rules.
TypeScript Developer Experience
@sinclair/typebox
Exceptional, providing high fidelity between types and validation with minimal boilerplate.
yup
Good, offering type definitions but with a less intrinsic connection to base TypeScript types.
VERDICT

For projects deeply invested in TypeScript, @sinclair/typebox offers a compelling approach by leveraging the type system itself for schema definition, enhancing compile-time safety and developer confidence. Its core philosophy revolves around generating schema definitions from TypeScript types, which can significantly reduce boilerplate and the potential for runtime inconsistencies.

yup, conversely, excels in scenarios where a more traditional, JavaScript-centric validation API is preferred, or when integrating with existing JavaScript codebases. Its declarative syntax is designed for ease of understanding and rapid development, making it a robust choice for applications that may not have stringent TypeScript requirements or benefit from static type inference during validation design.

A key architectural distinction lies in how each package approaches schema definition. @sinclair/typebox encourages defining types first and then inferring or building schemas from them, aiming for a single source of truth. This paradigm shift aligns closely with the goals of TypeScript's static typing, ensuring that your runtime validation logic mirrors your compile-time type definitions with high fidelity.

yup employs a fluent API for constructing validation schemas. This design pattern allows developers to chain validation rules together in a readable and intuitive manner, creating schemas directly as JavaScript objects. This contrasts with @sinclair/typebox's approach, which generates JSON Schema, enabling broad compatibility and integration with tools that understand the JSON Schema standard.

From a developer experience perspective, @sinclair/typebox provides an excellent experience within a TypeScript-native environment. Its integration with TypeScript's compiler and type inference capabilities means that validation logic can often be derived directly from your existing type definitions, minimizing the need for separate schema code. This can lead to fewer errors and a smoother development workflow for TypeScript developers.

yup offers a straightforward learning curve, particularly for developers familiar with JavaScript validation patterns. Its clear and concise API makes it easy to define complex validation rules quickly. While it has TypeScript support, its primary design is rooted in JavaScript, offering flexibility and ease of use across different JavaScript environments and ecosystems.

When considering performance and bundle size, @sinclair/typebox is notably efficient. Its focus on static type resolution and minimal runtime overhead results in a very small footprint. The package is designed to be highly optimized for bundle size, making it an attractive option for performance-sensitive applications or environments where every kilobyte counts.

yup, while also aiming for efficiency, presents a slightly larger bundle size compared to @sinclair/typebox. However, its size is still highly optimized and well within acceptable limits for most web applications. The trade-off for its slightly larger size is often a more feature-rich and flexible API for certain validation patterns, making it a versatile choice for a wide range of projects.

For new projects heavily reliant on TypeScript, @sinclair/typebox is a strong contender due to its static type generation and compile-time safety benefits. It integrates seamlessly, reducing the burden of maintaining separate validation schemas. When defining complex, nested data structures, its ability to derive schemas directly from TypeScript types offers a significant advantage in code maintainability and consistency.

Conversely, yup remains an excellent choice for projects that may not be exclusively TypeScript-based, or for teams that prefer a more explicit, JavaScript-driven validation API. Its maturity and widespread adoption mean it has a proven track record in diverse environments, and its fluent API is highly adaptable for rapid form validation or API input sanitization where speed of implementation is paramount.

In terms of ecosystem and longevity, both packages are actively maintained. @sinclair/typebox, being newer, aligns with modern TypeScript practices and offers a path towards improved type safety throughout the application. Its output format (JSON Schema) also opens doors to interoperability with other tools and systems that rely on this standard.

yup has a longer history and a vast installed base, indicating a stable and well-understood solution. Its ubiquity makes it easy to find community support and examples. For teams that might encounter diverse JavaScript environments or need to integrate with legacy systems, yup’s established presence offers a sense of security and broad compatibility.

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