COMPARISON · LINTING & FORMATTING

eslint vs. oxlint

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

eslint v10.8.0 · MIT
Weekly Downloads
129.2M
Stars
27.4K
Size
9.7 MB (Install Size)
License
MIT
Last Updated
5mo ago
Open Issues
118
Forks
5.1K
Unpacked Size
2.9 MB
Dependencies
oxlint v1.77.0 · MIT
Weekly Downloads
12.0M
Stars
22.2K
Size
70 B (Gzip Size)
License
MIT
Last Updated
5mo ago
Open Issues
749
Forks
1.2K
Unpacked Size
2.4 MB
Dependencies
1
DOWNLOAD TRENDS

eslint vs oxlint downloads — last 12 months

Download trends for eslint and oxlint2 download series from Aug 2025 to Jul 2026. Use left and right arrow keys to inspect monthly values.0160.8M321.6M482.4M643.3MAug 2025NovFebMayJul 2026
eslint
oxlint
FEATURE COMPARISON

Criteria — eslint vs oxlint

Core Philosophy
eslint
Focuses on deep, customizable AST pattern checking for comprehensive code quality control.
oxlint
Prioritizes lightning-fast linting performance and a streamlined developer experience.
Primary Audience
eslint
Large teams, enterprise projects, and developers requiring granular control over coding standards.
oxlint
Developers and teams prioritizing speed, efficient CI/CD, and quick feedback loops.
Ecosystem Maturity
eslint
Vast and mature ecosystem with countless plugins, tools, and community resources.
oxlint
A newer, growing ecosystem with fewer third-party integrations currently available.
Extensibility Model
eslint
Relies heavily on an extensive npm-based plugin ecosystem for added functionality and rules.
oxlint
Offers built-in capabilities for many common rules, with a simpler plugin system.
Dependency Management
eslint
Often involves installing numerous peer dependencies for various rulesets and plugins.
oxlint
Minimizes external dependencies by distributing core functionality within a single binary.
Execution Environment
eslint
Primarily runs within the Node.js runtime environment.
oxlint
Distributed as a fast, self-contained native binary.
Initial Setup Friction
eslint
Can require more steps to configure and install necessary plugins for a complete setup.
oxlint
Provides a quicker, more straightforward setup process out-of-the-box.
TypeScript Integration
eslint
Mature but can require explicit configuration for optimal TypeScript support.
oxlint
Designed with strong TypeScript support, often requiring less explicit setup.
CI/CD Integration Speed
eslint
Execution time can be a factor in build pipelines, potentially slowing down feedback loops.
oxlint
Rapid execution times contribute to faster CI builds and quicker developer feedback.
Custom Rule Granularity
eslint
Unparalleled ability to write complex, bespoke rules targeting very specific code constructs.
oxlint
Primarily targets common linting scenarios, with advanced custom rule writing being less central.
Configuration Complexity
eslint
Can involve intricate configurations and dependencies, potentially leading to a steeper learning curve.
oxlint
Aims for simpler, more intuitive configuration with fewer external dependencies.
Community Support Resources
eslint
Extensive documentation, Stack Overflow answers, and community-driven solutions are abundant.
oxlint
Growing community support, but resources are less extensive compared to ESLint.
Performance Characteristics
eslint
Generally slower due to its Node.js runtime and JavaScript-based rule execution.
oxlint
Significantly faster due to its Rust implementation and compiled nature.
Rule Definition Flexibility
eslint
Offers deep control over AST manipulation for highly specific, custom rule creation.
oxlint
Focuses on a wide range of common patterns, with less emphasis on low-level AST customization.
VERDICT

ESLint has long been the de facto standard for JavaScript linting, providing a deeply customizable and extensible platform. Its core strength lies in its robust Abstract Syntax Tree (AST) analysis, allowing for highly specific rule creation and integration into complex build pipelines. This makes ESLint particularly well-suited for large, established codebases with diverse teams and intricate coding standards, where fine-grained control over code quality is paramount.

OXLint, on the other hand, positions itself as a significantly faster alternative, leveraging Rust for its core implementation. Its philosophy centers on providing high performance out-of-the-box with sensible defaults, aiming to reduce the friction associated with setting up and running linters. OXLint is designed for developers who prioritize speed and efficiency, especially in CI/CD environments where quick feedback loops are critical for rapid development cycles.

A key architectural difference lies in their execution models and dependency management. ESLint typically runs in Node.js and relies heavily on a plugin system that often involves installing additional npm packages for specific rulesets or integrations. This modular approach offers flexibility but can lead to longer installation times and dependency management overhead. OXLint, being a single binary, aims for a streamlined experience, often embedding many common rules directly, reducing the need for external dependencies and simplifying setup.

Their extension models also differ considerably. ESLint's plugin architecture is mature and extensive, allowing for deep customization and support for various frameworks and languages via third-party packages. This rich ecosystem means ESLint can adapt to almost any JavaScript development scenario. OXLint's approach is more integrated; while it supports plugins, its focus is on providing a performant core with built-in capabilities, making it less reliant on an expansive external plugin marketplace for fundamental linting tasks.

In terms of developer experience, ESLint's extensibility, while powerful, can present a steeper learning curve, especially when configuring custom rules or troubleshooting complex configurations. Its TypeScript support has improved significantly over the years, but setup can still be involved. OXLint generally offers a more straightforward initial setup and faster execution, providing quicker feedback during development. Its Rust-based core also suggests potential for better performance consistency across different environments.

Performance is a significant differentiator. While exact benchmarks vary, OXLint is designed from the ground up for speed, often outperforming ESLint by a substantial margin, particularly on larger projects. This speed advantage is achieved through its compiled nature and efficient parsing. ESLint, while also having optimizations like caching, generally incurs more overhead due to its Node.js runtime and JavaScript-based rule execution.

For most new projects prioritizing rapid development and fast CI times, OXLint is an excellent choice. Its speed and ease of setup make it highly appealing for frontend development, especially with frameworks like React or Vue. For established projects with complex, highly customized linting rulesets, or where integration with a vast array of existing tools is necessary, ESLint remains a robust and proven option. ESLint's maturity also means extensive community resources and solutions for almost any conceivable linting problem.

Migrating from ESLint to OXLint can be a considered step, especially if performance bottlenecks are identified. While OXLint aims for compatibility with many ESLint rules, direct 1:1 rule translation may not always be perfect, requiring some configuration adjustments. The OXLint ecosystem is newer and less mature than ESLint's vast collection of plugins and integrations, which could be a factor for projects relying heavily on specific niche ESLint plugins.

Edge cases often involve highly specific, custom linting rules that might not be directly available or easily replicable in OXLint without a comparable plugin system. ESLint's flexibility in defining arbitrary AST transformations allows for unparalleled control over code analysis. OXLint's focus on common linting patterns and speed means it might abstract away some of the lower-level AST manipulation capabilities that advanced ESLint users might leverage.

CORRECTIONS

Spot wrong data here?

A short note helps us fix it.

Anonymous · No account · No email back

RELATED COMPARISONS 8
eslint vs ultracite ★ 30.6K · 129.8M/wk dprint-node vs eslint ★ 27.9K · 130.5M/wk @biomejs/biome vs eslint ★ 52.9K · 139.3M/wk eslint vs prettier ★ 79.6K · 235.7M/wk @rslint/core vs eslint ★ 27.9K · 129.2M/wk oxlint vs ultracite ★ 25.3K · 12.6M/wk dprint-node vs oxlint ★ 22.7K · 13.2M/wk oxlint vs prettier ★ 74.4K · 118.5M/wk