COMPARISON · STATE MANAGEMENT

nanostores vs. recoil

Side-by-side comparison · 9 metrics · 16 criteria

nanostores v1.3.0 · MIT
Weekly Downloads
2.4M
Stars
7.4K
Gzip Size
2.0 kB
License
MIT
Last Updated
3mo ago
Open Issues
26
Forks
151
Unpacked Size
48.9 kB
Dependencies
0
recoil v0.7.7 · MIT · ARCHIVED
Weekly Downloads
233.6K
Stars
19.5K
Gzip Size
29.5 kB
License
MIT
Last Updated
2y ago
Open Issues
320
Forks
1.2K
Unpacked Size
2.2 MB
Dependencies
3
DOWNLOAD TRENDS

nanostores vs recoil downloads — last 12 months

Download trends for nanostores and recoil2 download series from Jun 2025 to May 2026. Use left and right arrow keys to inspect monthly values.04.0M8.0M11.9M15.9MJun 2025SepDecMarMay 2026
nanostores
recoil
FEATURE COMPARISON

Criteria — nanostores vs recoil

SSR Support
nanostores
Requires explicit handling of initial state, highly adaptable
recoil
Designed with SSR in mind via server state hydration
Learning Curve
nanostores
Extremely low; simple API and few concepts
recoil
Moderate; requires understanding atoms, selectors, and React integration
Core Philosophy
nanostores
Minimalist, atomic, framework-agnostic state management
recoil
React-centric, graph-based state management
Primary Audience
nanostores
Performance-sensitive apps, libraries, multi-framework projects
recoil
Complex, feature-rich React applications
Reactivity Model
nanostores
Explicit subscription to atomic stores
recoil
Automatic updates based on graph dependencies
Developer Tooling
nanostores
Standard browser dev tools, potential for custom plugins
recoil
Integrates with React DevTools, specific Recoil inspector
State Organization
nanostores
Independent atomic stores with optional composition
recoil
Atoms forming a dependency graph with selectors
TypeScript Support
nanostores
Excellent, with clear typing for atomic stores
recoil
Strong, leveraging React's TypeScript ecosystem
Extensibility Model
nanostores
Relies on lightweight wrappers and composition
recoil
Deeply integrated into React's internals
Dependency Footprint
nanostores
Zero dependencies, maximum portability
recoil
Relies on React ecosystem, built for React
Granularity of State
nanostores
Ultrafine-grained atomic units
recoil
Fine-grained atoms with computed selectors
Ecosystem Integration
nanostores
Minimalist approach, easily integrated with various tools
recoil
Deeply embedded within React's ecosystem and tooling
Framework Agnosticism
nanostores
Designed for React, Preact, Vue, Svelte, and vanilla JS
recoil
Exclusive to React applications
Bundle Size Efficiency
nanostores
Exceptionally small (2.0 kB gzipped), minimal overhead
recoil
Larger, but optimized for React (29.5 kB gzipped)
Derived State Handling
nanostores
Achieved through selectors or utility functions
recoil
First-class support via selectors
Performance Optimization
nanostores
Achieved through minimal code and atomic updates
recoil
Leverages React's concurrent features for efficient rendering
VERDICT

Nanostores excels by offering a remarkably minimalist state management solution, emphasizing atomic stores that are highly tree-shakable. Its core philosophy centers on providing a small, efficient, and framework-agnostic foundation that can be integrated seamlessly into various JavaScript applications, including those built with React, Preact, Vue, and Svelte. This makes nanostores an ideal choice for projects where performance and minimal overhead are paramount, particularly in client-side rendering scenarios or when building libraries and components that need to remain lean.

Recoil, on the other hand, is designed exclusively for React applications, offering a more opinionated and React-centric state management experience. It builds upon React's concurrent features and aims to simplify complex state logic by introducing concepts like atoms and selectors. Recoil is particularly well-suited for applications that heavily leverage React's newer features and benefit from a declarative approach to state that feels idiomatic within the React ecosystem.

A key architectural difference lies in their fundamental design: nanostores employs a model of small, independent atomic stores that can be composed, aiming for maximum granularity and minimal coupling. This approach encourages breaking down state into the smallest possible units. Recoil utilizes a graph-based approach where atoms represent individual pieces of state, and selectors compute derived state based on these atoms, creating a dependency graph that React can efficiently manage.

Regarding their extension and plugin models, nanostores has a more ad-hoc approach, relying on its small core and the ability to build abstractions on top. Its framework integrations are typically simple wrappers, allowing for flexibility. Recoil, while having a core set of features, inherently ties into React's rendering and scheduling mechanisms, suggesting a more integrated but potentially less extensible model for non-React concerns. Recoil's design is deeply intertwined with React's internal workings.

From a developer experience perspective, nanostores offers a gentle learning curve due to its simple API and minimal concepts. Its small size and lack of dependencies mean quick installation and easy integration. Recoil, while also aiming for simplicity, introduces concepts like atoms and selectors that, while powerful, may require a slightly deeper understanding of its graph-based model and how it interacts with React's concurrent rendering. Debugging in nanostores can be straightforward due to its atomic nature, while Recoil's debugging experience is enhanced by React's developer tools but requires understanding its specific state graph.

Performance and bundle size are significant differentiators. Nanostores is exceptionally lightweight, with a gzipped bundle size of just 2.0 kB, making it one of the smallest state management solutions available. This minimal footprint drastically reduces application load times and improves overall performance, especially on low-resource devices. Recoil, while also optimized, has a considerably larger gzipped bundle size of 29.5 kB. This difference is substantial for applications where every kilobyte counts.

For practical recommendations, choose nanostores when building reusable UI components, micro-frontends, performance-critical applications, or when you need a state manager that can be easily adopted across multiple JavaScript frameworks. Its tiny footprint and atomic nature are invaluable in these scenarios. Opt for Recoil when developing feature-rich, complex React applications that can fully leverage its integration with React's concurrent features and prefer a declarative, graph-based state model within the React ecosystem.

Considering ecosystem lock-in and long-term maintenance, nanostores, being framework-agnostic, offers greater flexibility. You are not tied to a specific view layer, which can simplify future migrations or multi-framework projects. Recoil, by its very nature, is tightly coupled to React. While this provides a deep, integrated experience within React, it also means that migrating away from React would necessitate a complete overhaul of the state management strategy. The MIT license for both implies good maintainability from a licensing standpoint.

In terms of niche use cases and emerging trends, nanostores' extreme simplicity and tiny size make it a strong contender for web components or embedded applications where minimizing bloat is critical. Its atomic nature also aligns well with functional programming paradigms. Recoil's focus on React's concurrent features positions it as a solution for modern, highly interactive React applications that can benefit from preemptive rendering and improved user experience through fine-grained state updates and derived data calculations.

CORRECTIONS

Spot wrong data here?

A short note helps us fix it.

Anonymous · No account · No email back

RELATED COMPARISONS 8
nanostores vs redux ★ 68.9K · 18.9M/wk nanostores vs xstate ★ 37.1K · 4.5M/wk @reduxjs/toolkit vs nanostores ★ 18.6K · 12.8M/wk mobx vs nanostores ★ 35.6K · 4.2M/wk jotai vs nanostores ★ 28.6K · 4.7M/wk nanostores vs valtio ★ 17.6K · 3.3M/wk nanostores vs zustand ★ 65.6K · 22.3M/wk recoil vs zustand ★ 77.7K · 20.2M/wk