@rslint/core vs. eslint
Side-by-side comparison · 9 metrics · 14 criteria
- Weekly Downloads
- 26.1K
- Stars
- 431
- Size
- 88.5 kB (Gzip Size)
- License
- MIT
- Last Updated
- 27d ago
- Open Issues
- 66
- Forks
- 25
- Unpacked Size
- 2.3 MB
- Dependencies
- 3
- 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
- —
@rslint/core vs eslint downloads — last 12 months
Criteria — @rslint/core vs eslint
- Architectural Approach
- @rslint/coreLikely employs a more integrated, potentially Rust-optimized processing engine.eslint ✓Utilizes a modular, AST-traversal model with separate parsers and rule plugins.
- Maturity and Stability
- @rslint/coreAppears to be a newer or more specialized tool, potentially less battle-tested across diverse environments.eslint ✓A mature, widely adopted, and stable tool that has been a cornerstone of JavaScript development for years.
- TypeScript Integration
- @rslint/coreLikely supports TypeScript but might require specific configurations or integration steps.eslint ✓Excellent TypeScript support via dedicated parsers and plugins, well-established in the ecosystem.
- Rule Development Approach
- @rslint/coreRule development might be tied to its internal architecture or native language capabilities.eslint ✓Rule development follows a standardized plugin API based on AST inspection.
- Editor Integration Quality
- @rslint/coreEditor integration likely exists but may not be as universally polished or feature-rich.eslint ✓Seamless and highly feature-rich integration across virtually all major code editors and IDEs.
- Niche Use Case Suitability
- @rslint/core ✓Potentially excels in niche scenarios involving specific toolchains or performance-critical native integrations.eslintGenerally applicable, making it suitable for almost all use cases but not specifically optimized for niche native integrations.
- Plugin and Ecosystem Breadth
- @rslint/corePotentially less developed or more domain-specific plugin landscape.eslint ✓Boasts an expansive, diverse range of community-contributed plugins for numerous use cases.
- Framework and Library Support
- @rslint/coreSupport for specific frameworks or libraries might be limited or require custom setup.eslint ✓Extensive out-of-the-box and plugin-based support for major JavaScript frameworks and libraries.
- Code Quality Enforcement Scope
- @rslint/coreFocuses on core linting within its specific ecosystem or targeted for performance.eslint ✓Covers a vast spectrum of code quality, style, error detection, and best practices.
- Community Support and Resources
- @rslint/coreSmaller community, potentially fewer readily available resources and examples.eslint ✓Massive, active community providing ample support, tutorials, and shared configurations.
- Configurability and Extensibility
- @rslint/coreHighly configurable with a focus on deep customization, potentially tailored for specific ecosystems.eslint ✓Extremely flexible with a vast plugin ecosystem for broad customization and framework support.
- Performance Optimization Potential
- @rslint/core ✓Potential for higher raw performance and efficiency due to native implementation.eslintCan have longer linting times on large codebases due to JavaScript-based execution.
- Core Philosophy and Target Audience
- @rslint/coreAims to provide a controllable, adaptable linting foundation for specialized environments.eslint ✓Offers a universally applicable, rule-based system for broad code quality enforcement.
- Developer Onboarding and Learning Curve
- @rslint/coreMay present a steeper learning curve if deviating from common paradigms or tied to niche toolchains.eslint ✓Offers a generally smooth onboarding with extensive documentation and broad community support.
| Criteria | @rslint/core | eslint |
|---|---|---|
| Architectural Approach | Likely employs a more integrated, potentially Rust-optimized processing engine. | ✓ Utilizes a modular, AST-traversal model with separate parsers and rule plugins. |
| Maturity and Stability | Appears to be a newer or more specialized tool, potentially less battle-tested across diverse environments. | ✓ A mature, widely adopted, and stable tool that has been a cornerstone of JavaScript development for years. |
| TypeScript Integration | Likely supports TypeScript but might require specific configurations or integration steps. | ✓ Excellent TypeScript support via dedicated parsers and plugins, well-established in the ecosystem. |
| Rule Development Approach | Rule development might be tied to its internal architecture or native language capabilities. | ✓ Rule development follows a standardized plugin API based on AST inspection. |
| Editor Integration Quality | Editor integration likely exists but may not be as universally polished or feature-rich. | ✓ Seamless and highly feature-rich integration across virtually all major code editors and IDEs. |
| Niche Use Case Suitability | ✓ Potentially excels in niche scenarios involving specific toolchains or performance-critical native integrations. | Generally applicable, making it suitable for almost all use cases but not specifically optimized for niche native integrations. |
| Plugin and Ecosystem Breadth | Potentially less developed or more domain-specific plugin landscape. | ✓ Boasts an expansive, diverse range of community-contributed plugins for numerous use cases. |
| Framework and Library Support | Support for specific frameworks or libraries might be limited or require custom setup. | ✓ Extensive out-of-the-box and plugin-based support for major JavaScript frameworks and libraries. |
| Code Quality Enforcement Scope | Focuses on core linting within its specific ecosystem or targeted for performance. | ✓ Covers a vast spectrum of code quality, style, error detection, and best practices. |
| Community Support and Resources | Smaller community, potentially fewer readily available resources and examples. | ✓ Massive, active community providing ample support, tutorials, and shared configurations. |
| Configurability and Extensibility | Highly configurable with a focus on deep customization, potentially tailored for specific ecosystems. | ✓ Extremely flexible with a vast plugin ecosystem for broad customization and framework support. |
| Performance Optimization Potential | ✓ Potential for higher raw performance and efficiency due to native implementation. | Can have longer linting times on large codebases due to JavaScript-based execution. |
| Core Philosophy and Target Audience | Aims to provide a controllable, adaptable linting foundation for specialized environments. | ✓ Offers a universally applicable, rule-based system for broad code quality enforcement. |
| Developer Onboarding and Learning Curve | May present a steeper learning curve if deviating from common paradigms or tied to niche toolchains. | ✓ Offers a generally smooth onboarding with extensive documentation and broad community support. |
@rslint/core is designed as a highly configurable and extensible linter, aiming to provide a robust foundation for static analysis with a focus on developer control and customization within its ecosystem. Its core philosophy revolves around offering a flexible architecture that can be adapted to various JavaScript and TypeScript projects, catering to developers who prefer to fine-tune their linting rules and integrate deeply with custom tooling. The primary audience for @rslint/core includes teams looking for a linter that can be molded to specific project requirements, potentially those working within the Rstack or Tsgo environments where it might offer tighter integration.
eslint, on the other hand, stands as a de facto standard in the JavaScript ecosystem, celebrated for its unparalleled flexibility and vast plugin support that addresses nearly any linting or code quality concern imaginable. Its philosophy centers on empowering developers with a powerful, rule-based system that can enforce coding standards, catch errors, and maintain code consistency across projects of all sizes. The vast majority of JavaScript developers, from individual contributors to large enterprise teams, benefit from eslint's comprehensive capabilities and widespread adoption, making it the go-to choice for robust static analysis.
A key architectural difference lies in their approach to rule execution and configuration. @rslint/core likely employs a more integrated or cohesive internal structure, perhaps optimizing for performance within its specific Rust-based compiler framework to process code. ESLint, however, operates with a more modular, AST-traversal-based model where rules are plugins that inspect and report on the Abstract Syntax Tree (AST) generated by a separate parser, such as Espree or `@typescript-eslint/parser`. This distinction influences how rules are written, how they interact, and the overall performance characteristics of the linting process.
Regarding their plugin and extension models, eslint boasts an expansive ecosystem of community-contributed plugins that extend its functionality far beyond core JavaScript linting to cover frameworks like React, Vue, and modern ECMAScript features, as well as specialized checks for security and best practices. @rslint/core, while potentially extensible, appears to have a less developed or more domain-specific plugin landscape, suggesting that its primary extensibility might be geared towards internal configurations or integrations within its native environment rather than a broad, general-purpose plugin marketplace.
From a developer experience perspective, eslint offers a generally smooth onboarding process, especially for common use cases, with extensive documentation and community support. Its integration with popular editors is seamless, providing instant feedback. @rslint/core might present a steeper learning curve if it deviates significantly from established linting paradigms or if its configuration requires a deeper understanding of its underlying architecture, particularly if it's tightly coupled with specific toolchains or languages like Rust and Go, which could be a barrier for developers unfamiliar with those ecosystems.
Performance and bundle size are areas where @rslint/core has a potential advantage, especially evident in its notably smaller unpacked size (2.3 MB vs 2.9 MB) and likely more optimized runtime given its Rust origins, which is often associated with high performance. While eslint's bundle size is not critically large, its reliance on JavaScript for parsing and rule execution, combined with its extensive feature set, can lead to longer linting times on very large codebases compared to a more native solution. For projects prioritizing raw speed and minimal dependencies, @rslint/core might offer a more efficient solution.
In practice, eslint is the unequivocal choice for most general-purpose JavaScript and TypeScript projects due to its maturity, enormous plugin ecosystem, and widespread industry adoption. You should pick eslint if you need comprehensive linting for diverse frameworks, need to integrate with a vast array of existing tooling, or are joining a team that already uses it. Choose @rslint/core if you are deeply embedded in the Rstack/Tsgo ecosystem, require extremely high performance from your linter, and are willing to invest time in configuring a potentially more specialized tool that might not have the same breadth of community support.
Considering long-term maintenance and ecosystem evolution, eslint benefits from a massive, active community and corporate backing, ensuring its continued relevance and development. Its extensive plugin system allows it to adapt to new language features and frameworks quickly. @rslint/core's maintenance trajectory is less clear from public metrics alone; while its last update indicates recent activity, its smaller community and potentially more niche focus might mean slower adoption of new JavaScript standards or fewer available integrations compared to the deeply entrenched eslint.
Edge cases and niche use cases represent where @rslint/core might find its strength. If a project requires linting performance optimized for specific environments tied to Rust or Go toolchains, or if it is part of a build system where interoperability with those languages is paramount, @rslint/core could offer unique advantages. For instance, within a monorepo heavily reliant on Rust, @rslint/core might provide a more cohesive and performant linting experience than a separate JavaScript-based linter like eslint, which would need to communicate across language boundaries.
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