eslint vs. oxlint
Side-by-side comparison · 9 metrics · 14 criteria
- 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
- —
- 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
eslint vs oxlint downloads — last 12 months
Criteria — eslint vs oxlint
- Core Philosophy
- eslint ✓Focuses on deep, customizable AST pattern checking for comprehensive code quality control.oxlintPrioritizes lightning-fast linting performance and a streamlined developer experience.
- Primary Audience
- eslint ✓Large teams, enterprise projects, and developers requiring granular control over coding standards.oxlintDevelopers 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.oxlintA 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.oxlintOffers built-in capabilities for many common rules, with a simpler plugin system.
- Dependency Management
- eslintOften involves installing numerous peer dependencies for various rulesets and plugins.oxlint ✓Minimizes external dependencies by distributing core functionality within a single binary.
- Execution Environment
- eslintPrimarily runs within the Node.js runtime environment.oxlint ✓Distributed as a fast, self-contained native binary.
- Initial Setup Friction
- eslintCan 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
- eslintMature but can require explicit configuration for optimal TypeScript support.oxlint ✓Designed with strong TypeScript support, often requiring less explicit setup.
- CI/CD Integration Speed
- eslintExecution 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.oxlintPrimarily targets common linting scenarios, with advanced custom rule writing being less central.
- Configuration Complexity
- eslintCan 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.oxlintGrowing community support, but resources are less extensive compared to ESLint.
- Performance Characteristics
- eslintGenerally 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.oxlintFocuses on a wide range of common patterns, with less emphasis on low-level AST customization.
| Criteria | eslint | oxlint |
|---|---|---|
| Core Philosophy | ✓ Focuses on deep, customizable AST pattern checking for comprehensive code quality control. | Prioritizes lightning-fast linting performance and a streamlined developer experience. |
| Primary Audience | ✓ Large teams, enterprise projects, and developers requiring granular control over coding standards. | Developers and teams prioritizing speed, efficient CI/CD, and quick feedback loops. |
| Ecosystem Maturity | ✓ Vast and mature ecosystem with countless plugins, tools, and community resources. | A newer, growing ecosystem with fewer third-party integrations currently available. |
| Extensibility Model | ✓ Relies heavily on an extensive npm-based plugin ecosystem for added functionality and rules. | Offers built-in capabilities for many common rules, with a simpler plugin system. |
| Dependency Management | Often involves installing numerous peer dependencies for various rulesets and plugins. | ✓ Minimizes external dependencies by distributing core functionality within a single binary. |
| Execution Environment | Primarily runs within the Node.js runtime environment. | ✓ Distributed as a fast, self-contained native binary. |
| Initial Setup Friction | Can require more steps to configure and install necessary plugins for a complete setup. | ✓ Provides a quicker, more straightforward setup process out-of-the-box. |
| TypeScript Integration | Mature but can require explicit configuration for optimal TypeScript support. | ✓ Designed with strong TypeScript support, often requiring less explicit setup. |
| CI/CD Integration Speed | Execution time can be a factor in build pipelines, potentially slowing down feedback loops. | ✓ Rapid execution times contribute to faster CI builds and quicker developer feedback. |
| Custom Rule Granularity | ✓ Unparalleled ability to write complex, bespoke rules targeting very specific code constructs. | Primarily targets common linting scenarios, with advanced custom rule writing being less central. |
| Configuration Complexity | Can involve intricate configurations and dependencies, potentially leading to a steeper learning curve. | ✓ Aims for simpler, more intuitive configuration with fewer external dependencies. |
| Community Support Resources | ✓ Extensive documentation, Stack Overflow answers, and community-driven solutions are abundant. | Growing community support, but resources are less extensive compared to ESLint. |
| Performance Characteristics | Generally slower due to its Node.js runtime and JavaScript-based rule execution. | ✓ Significantly faster due to its Rust implementation and compiled nature. |
| Rule Definition Flexibility | ✓ Offers deep control over AST manipulation for highly specific, custom rule creation. | Focuses on a wide range of common patterns, with less emphasis on low-level AST customization. |
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.
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