eslint vs oxlint

Side-by-side comparison of eslint and oxlint

eslint v10.2.0 MIT
Weekly Downloads
95.0M
Stars
27.1K
Gzip Size
433.7 kB
License
MIT
Last Updated
1mo ago
Open Issues
104
Forks
5.0K
Unpacked Size
2.9 MB
Dependencies
47
oxlint v1.59.0 MIT
Weekly Downloads
3.4M
Stars
20.6K
Gzip Size
76 B
License
MIT
Last Updated
1mo ago
Open Issues
626
Forks
953
Unpacked Size
1.4 MB
Dependencies
1

eslint vs oxlint Download Trends

Download trends for eslint and oxlint0121.4M242.7M364.1M485.4MFeb 2025MayAugNovFebApr 2026
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eslint vs oxlint: Verdict

ESLint is the established standard for JavaScript linting, offering an incredibly rich and mature ecosystem. Its strength lies in its highly configurable rule system, allowing teams to enforce very specific coding standards and catch a wide array of potential issues before runtime. This makes ESLint particularly well-suited for large, complex projects or organizations where code consistency across many developers is paramount. Its core philosophy centers on providing a flexible platform for static code analysis that can be extended to fit almost any project's needs.

Oxlint positions itself as an exceptionally fast linter, leveraging Rust for its implementation. It aims to provide a performant alternative to existing tools, prioritizing speed and efficiency. This makes Oxlint a compelling choice for developers who are sensitive to build times or who work on very large codebases where linting can become a bottleneck. Its primary audience includes those seeking a swift, modern linter that can integrate seamlessly without imposing significant performance overhead.

A fundamental architectural difference lies in their underpinnings. ESLint operates on an Abstract Syntax Tree (AST) generated from JavaScript code, allowing for deep code inspection and complex pattern matching. Oxlint, while also analyzing code, is built with a focus on extreme performance, suggesting underlying optimizations in its parsing and analysis mechanisms that differ significantly from ESLint's more traditional AST traversal approach.

Regarding extensibility, ESLint boasts a vast plugin and shareable configuration ecosystem. Developers can readily find or create plugins for framework-specific rules (like React or Vue) or custom linting logic. Oxlint, while also supporting plugins, appears to have a more nascent ecosystem, suggesting a potentially steeper learning curve for advanced customization compared to ESLint's battle-tested extension model.

From a developer experience perspective, ESLint's extensive documentation and community support mean that troubleshooting and learning are generally straightforward, though its plugin system can add complexity. Oxlint's focus on speed and simplicity might offer a quicker onboarding for basic linting tasks. However, its newer nature could mean less readily available solutions for obscure issues or advanced configurations compared to ESLint's decades of community contributions.

Performance is where Oxlint truly shines. Its bundle size is astonishingly small, measured in bytes, and its execution speed is typically orders of magnitude faster than ESLint. ESLint, while powerful, has a significantly larger bundle size and can introduce noticeable delays in development workflows, especially on large projects. This stark contrast makes Oxlint a strong contender if linting performance is a critical requirement.

For most JavaScript and TypeScript projects, ESLint remains the default recommendation due to its maturity and extensive ecosystem. However, if you are experiencing slow build times or repetitive linting delays in a large project, and you prioritize speed and a minimal footprint above all else, Oxlint presents a compelling modern alternative. Consider Oxlint for new projects where initial setup speed and future performance are key, or for monorepos where linting across many packages can be time-consuming.

An important consideration for Oxlint is its relative newness compared to ESLint. While Oxlint is actively developed and rapidly evolving, ESLint has a long history and a deeply entrenched presence in the JavaScript tooling landscape. Developers migrating to Oxlint should be aware that while it aims for compatibility, some edge cases or highly specific rule behaviors might differ. The transition might require adjustments to custom configurations or a re-evaluation of certain linting rules that ESLint had previously enforced.

Oxlint's inclusion of topics like 'minifier' and 'transpiler' in its metadata suggests a broader ambition beyond just linting, potentially aiming to integrate more closely with code optimization pipelines. ESLint, conversely, remains tightly focused on static analysis and code quality through linting and formatting rules. This difference in scope might hint at future divergence in their core functionalities and strategic direction within the developer toolchain.

eslint vs oxlint: Feature Comparison

Feature comparison between eslint and oxlint
Criteria eslint oxlint
Learning Curve Can be moderate due to extensive configuration options and plugin management. Potentially lower for basic usage, but advanced customization might require deeper understanding of its newer architecture.
Scope Ambition Primarily focused on static code analysis and formatting rules. Potentially broader scope, with metadata suggesting roles in minification and transpilation alongside linting.
Community Trust Widely trusted and the de facto standard for JavaScript linting for many years. Gaining traction rapidly, appealing to developers seeking modern, fast tooling.
Core Philosophy Focuses on configurable, extensible static code analysis for maintaining code quality and consistency. Prioritizes extremely fast linting performance and efficiency in code analysis.
Primary Audience Teams requiring strict code standards, large projects, and mature tooling support. Developers and teams sensitive to build times, seeking performant modern linters.
Rule Granularity Offers extremely fine-grained control over virtually any coding style or potential error. Provides robust linting capabilities, but might have fewer niche or highly specific rule options than ESLint.
Analysis Mechanism Relies on Abstract Syntax Tree (AST) parsing and traversal for in-depth code inspection. Employs highly optimized Rust-based analysis for superior speed, likely with different internal tree representations.
Ecosystem Maturity Highly mature, with extensive community resources, plugins, and integrations. Younger but rapidly developing, with growing community support and features.
Targeted Use Cases Comprehensive code quality assurance across diverse project types and team sizes. Performance-critical applications, large monorepos, and build pipeline optimization.
Extensibility Model Features a mature and vast plugin and shareable configuration ecosystem. Supports plugins, but its ecosystem is newer and less extensive than ESLint's.
Performance Profile Can be slower on large projects, with noticeable impact on build times. Offers significantly faster linting speeds and minimal impact on development workflows.
Bundle Size Footprint Considerably larger, with package size impacting installation and load times. Extremely minimal, measured in bytes, contributing to rapid startup and distribution.
TypeScript Integration Excellent TypeScript support via dedicated parser and plugins, widely adopted. Strong TypeScript support, leveraging its performance for analysis of TS codebases.
Configuration Complexity Highly flexible but can lead to complex configurations, especially with many plugins. Aims for simplicity and speed, potentially offering easier initial setup for core linting.

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