jotai vs nanostores

Side-by-side comparison of jotai and nanostores

jotai v2.19.0 MIT
Weekly Downloads
2.7M
Stars
21.1K
Gzip Size
7.1 kB
License
MIT
Last Updated
1mo ago
Open Issues
12
Forks
709
Unpacked Size
525.6 kB
Dependencies
2
nanostores v1.2.0 MIT
Weekly Downloads
1.9M
Stars
7.2K
Gzip Size
2.0 kB
License
MIT
Last Updated
1mo ago
Open Issues
23
Forks
141
Unpacked Size
48.4 kB
Dependencies
1

jotai vs nanostores Download Trends

Download trends for jotai and nanostores03.6M7.3M10.9M14.5MFeb 2025MayAugNovFebApr 2026
jotai
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jotai vs nanostores: Verdict

Jotai is a primitive and flexible state management library designed for React, focusing on an atomic approach to state. Its core philosophy revolves around simplicity and extensibility, making it an excellent choice for developers who prefer a minimalistic yet powerful state solution without excessive boilerplate.

Nanostores offers an extremely tiny and versatile state manager, boasting a mere 271 bytes of gzipped code. It is architecturally framework-agnostic, supporting React, Preact, Vue, and Svelte, appealing to developers who prioritize minimal bundle size and broad framework compatibility.

A key architectural difference lies in their approach to state primitives. Jotai utilizes atoms, inspired by Recoil, where atoms are independent units of state that can be composed. Nanostores, on the other hand, implements a system of stores that can be derived from others, forming a reactive graph.

Another technical distinction is in their extensibility and plugin models. Jotai has a growing ecosystem of utilities and integrations for common tasks like async operations and form management, often integrated via custom hooks or providers. Nanostores embraces a plugin-like architecture where features are often added by extending existing stores or using specific store types.

Developer experience with Jotai is generally smooth, especially for those familiar with React hooks, as its API is designed to feel natural within the React ecosystem. Its TypeScript support is robust, aiding in type safety and predictable state manipulation. Nanostores also offers excellent TypeScript integration and a straightforward API, though its framework-agnostic nature might require a slight adjustment in mindset compared to React-specific solutions.

In terms of performance and bundle size, Nanostores holds a significant advantage. Its minuscule 2.0 kB gzipped bundle size is remarkable and ideal for applications where every kilobyte counts. Jotai, while still performant, has a larger bundle size of 7.1 kB, which is still competitive but noticeable when comparing directly with Nanostores.

Practically, choose Jotai when building primarily React applications and you value a cohesive developer experience within the React ecosystem, with a rich set of community-driven extensions. Opt for Nanostores when bundle size is a critical concern, or when you need a state manager that can seamlessly integrate across multiple JavaScript frameworks or micro-frontend architectures.

Both Jotai and Nanostores are actively maintained, indicated by their recent updates on March 24, 2026. Jotai's larger GitHub star count (21.1K vs 7.2K) suggests broader initial traction and community recognition, while Nanostores' smaller but still substantial star count (7.2K) reflects its appeal to a focused group prioritizing efficiency.

For niche use cases and emerging trends, Nanostores' extreme leanness makes it a compelling candidate for progressive web applications (PWAs) or performance-critical embedded widgets where resource constraints are paramount. Jotai's focus on composability and its atomic nature might lend itself well to complex real-time data synchronization scenarios within larger React applications.

jotai vs nanostores: Feature Comparison

Feature comparison between jotai and nanostores
Criteria jotai nanostores
Codebase Size Larger unpacked size of 525.6 kB. Significantly smaller unpacked size of 48.4 kB.
Learning Curve Generally intuitive for React developers due to hook-like patterns. Straightforward API, potentially requiring adjustment for framework-agnostic approach.
Core Philosophy Focuses on primitive, flexible, atomic state management within React. Emphasizes extreme tininess and broad framework support for state management.
Primary Audience React developers seeking a simple yet powerful atomic state solution. Developers needing a universally compatible, extremely small state manager.
Ecosystem Breadth Has a growing ecosystem of community-driven utilities. Offers core functionality with extensibility via store composition.
Active Development Actively maintained with recent updates. Actively maintained with recent updates.
Data Flow Paradigm Atomic data flow, where state is managed in small, independent units. Reactive store-based flow, allowing for derived state and efficient updates.
Extensibility Model Extensible through custom hooks and utility integrations. Built with a plugin-like architecture for adding store functionality.
Recommended Use Case Best for React-centric applications prioritizing intrinsic state logic. Ideal for multi-framework projects or micro-frontends where size is crucial.
API Design Philosophy Encourages composability and simplicity through atomic primitives. Focuses on minimal API surface and extreme modularity.
Community Recognition Substantial community adoption with 21.1K GitHub stars. Growing recognition with 7.2K GitHub stars.
Framework Agnosticism Primarily designed for and integrates deeply with React. Explicitly supports React, Preact, Vue, and Svelte.
Bundle Size Efficiency Reasonable 7.1 kB gzipped bundle size. Extremely minimal at 2.0 kB gzipped bundle size.
Developer Productivity Facilitates rapid development within React with minimal boilerplate. Enables fast development across multiple frameworks with minimal overhead.
State Primitive Design Uses atoms as independent state units, inspired by Recoil. Employs stores that can be derived, forming reactive graphs.
TypeScript Integration Robust TypeScript support enabling type-safe state. Features excellent TypeScript integration for predictable state.

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