COMPARISON · LINTING & FORMATTING

eslint vs. oxlint

Side-by-side comparison · 9 metrics · 14 criteria

eslint v10.4.1 · MIT
Weekly Downloads
67.4M
Stars
27.3K
Gzip Size
445.1 kB
License
MIT
Last Updated
3mo ago
Open Issues
111
Forks
5.0K
Unpacked Size
2.9 MB
Dependencies
47
oxlint v1.68.0 · MIT
Weekly Downloads
3.9M
Stars
21.5K
Gzip Size
76 B
License
MIT
Last Updated
3mo ago
Open Issues
575
Forks
1.1K
Unpacked Size
1.6 MB
Dependencies
1
DOWNLOAD TRENDS

eslint vs oxlint downloads — last 12 months

Download trends for eslint and oxlint2 download series from Jun 2025 to May 2026. Use left and right arrow keys to inspect monthly values.0139.8M279.7M419.5M559.4MJun 2025SepDecMarMay 2026
eslint
oxlint
FEATURE COMPARISON

Criteria — eslint vs oxlint

Core Philosophy
eslint
AST-based pattern checking for comprehensive code analysis
oxlint
Performance-first Rust-based linter for speed and efficiency
Bundle Footprint
eslint
Significant unpacked and gzipped size
oxlint
Extremely small gzipped size (bytes)
Execution Engine
eslint
Runs primarily in Node.js, leveraging JavaScript engines
oxlint
Compiles to a native binary via Rust for minimal overhead
Ecosystem Maturity
eslint
Extremely mature with extensive community resources
oxlint
Newer, rapidly evolving with growing community
Performance Profile
eslint
Functional but can be slower with extensive configurations
oxlint
Extremely fast, offering near-instantaneous linting results
Resource Consumption
eslint
Moderate to high resource usage during linting
oxlint
Minimal resource consumption due to optimized native code
Primary Audience Focus
eslint
Teams needing robust, configurable, and mature code quality solutions
oxlint
Developers prioritizing rapid feedback and minimizing build times
TypeScript Integration
eslint
Robust and well-established TypeScript support
oxlint
Good TypeScript support as part of its core functionality
Custom Rule Development
eslint
Well-supported and documented process for custom JavaScript rules
oxlint
Custom rule development less established compared to ESLint
Configuration Complexity
eslint
Highly customizable, potentially complex initially
oxlint
Aims for simpler configuration with strong defaults
Initial Adoption Barrier
eslint
Higher due to extensive configuration options
oxlint
Lower due to streamlined approach and speed
Plugin and Extension Model
eslint
Vast, mature ecosystem of JavaScript-based plugins
oxlint
Developing ecosystem, focuses on built-in, high-performance rules
Development Workflow Impact
eslint
Provides thorough checks, potentially longer feedback loops
oxlint
Accelerates feedback loops significantly with speed
Long-term Project Stability
eslint
Highly stable due to long history and widespread adoption
oxlint
Promising but still establishing its long-term track record
VERDICT

ESLint is the de facto standard for JavaScript linting, boasting a mature ecosystem and extensive community support. Its core philosophy centers around providing highly configurable static code analysis through an Abstract Syntax Tree (AST) parser. This makes it incredibly versatile for enforcing coding standards, catching potential bugs, and maintaining code quality across diverse JavaScript projects, from small scripts to large enterprise applications. Its primary audience includes development teams seeking robust, long-term solutions for code consistency and maintainability.

Oxlint, on the other hand, is a newer, performance-focused linter designed with speed and efficiency as its paramount goals. It leverages a Rust-based engine to achieve significantly faster linting times. This makes oxlint particularly well-suited for scenarios where rapid feedback is crucial, such as in CI/CD pipelines or during very active development cycles where developers want immediate insights without long waits. Its audience comprises developers and teams prioritizing build times and developer workflow speed.

A key architectural difference lies in their execution environments and core engines. ESLint typically runs in Node.js, relying on JavaScript engines and a plugin architecture that often involves executing JavaScript code for rules and plugins. Oxlint, being written in Rust, compiles down to a highly efficient binary, allowing it to operate with minimal overhead and achieve near-instantaneous linting results. This difference in implementation language and execution leads to a stark contrast in raw performance.

Regarding their extension models, ESLint utilizes a pluggable architecture where rules and configurations are often managed as separate npm packages. This vast plugin ecosystem allows for extensive customization and integration with various tools and frameworks. Oxlint, while also supporting extensions, is still developing its plugin ecosystem and relies more on its built-in, high-performance rules. The focus is on providing a comprehensive set of essential linting capabilities out-of-the-box with Rust-powered efficiency, rather than relying on a broad network of community-contributed JavaScript plugins.

From a developer experience perspective, ESLint offers an exceptionally rich and mature ecosystem with countless resources, tutorials, and pre-configured rule sets. Beginners might find its extensive configuration options overwhelming initially, but its TypeScript support is robust, and debugging custom rules is well-documented. Oxlint aims for a simpler configuration experience and provides lightning-fast feedback, which can drastically improve the development loop. Its rapid execution minimizes the friction associated with checking code quality during active coding sessions.

Performance and bundle size are where oxlint truly excels. While ESLint's unpacked size is substantial and its gzipped bundle size is significant (measured in hundreds of kilobytes), oxlint is remarkably small, with a gzipped bundle size measured in mere bytes. This stark difference in size is a direct consequence of its Rust implementation and optimized build process, making it an incredibly lightweight choice that adds virtually no overhead to project dependencies.

For practical recommendations, ESLint remains the go-to choice for projects requiring deep customization, a vast array of specialized rules, or integration with an established tooling chain. It's ideal for teams that have standardized on ESLint and benefit from its mature plugin ecosystem. Oxlint is the superior option when raw speed and minimal resource consumption are the primary concerns. Consider oxlint for new projects where rapid iteration and fast CI checks are paramount, or as a complementary tool to quickly catch common issues before a more thorough ESLint pass.

The ecosystem surrounding ESLint is vast and deeply entrenched, making migration away from it a significant undertaking for many projects. The sheer number of existing configurations and custom rules developed over years presents a considerable barrier to entry for alternatives. While oxlint is rapidly gaining traction, it does not yet possess the same breadth of community-driven extensions or long-term institutional adoption as ESLint, which could impact long-term maintenance and project continuity if extensive custom linting logic is required.

Considering niche use cases, ESLint's flexibility makes it adaptable to highly specific coding standards or avant-garde JavaScript features where dedicated plugins might already exist. Oxlint's strength lies in its speed and efficiency, making it an excellent candidate for embedding within IDEs for real-time feedback or for use in resource-constrained environments where even minor performance gains are valuable. Its focus on core linting principles with high performance suggests it could become a standard for the fastest possible code quality checks.

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