marked vs. rehype
Side-by-side comparison · 9 metrics · 14 criteria
- Weekly Downloads
- 52.1M
- Stars
- 37.0K
- Gzip Size
- 12.9 kB
- License
- MIT
- Last Updated
- 5mo ago
- Open Issues
- 13
- Forks
- 3.6K
- Unpacked Size
- 468.4 kB
- Dependencies
- 1
- Weekly Downloads
- 3.3M
- Stars
- 2.2K
- Gzip Size
- 70.0 kB
- License
- MIT
- Last Updated
- 1y ago
- Open Issues
- 2
- Forks
- 92
- Unpacked Size
- 13.3 kB
- Dependencies
- 31
marked vs rehype downloads — last 12 months
Criteria — marked vs rehype
- Learning Curve
- marked ✓Generally lower for basic Markdown parsingrehypePotentially steeper due to AST concepts and plugin ecosystem
- Tooling Synergy
- markedRelies on standard JavaScript tooling for integrationrehype ✓Benefits from and integrates with other unified-compatible tools
- Dependency Footprint
- marked ✓Minimal dependencies, focused on parsing logicrehypePart of the unified collective, implies broader ecosystem dependencies
- Core Processing Model
- markedDirect Markdown to HTML string parsingrehype ✓HTML parsing to AST for programmatic manipulation
- Ecosystem Integration
- markedStandalone solution, well-integrated within its own scoperehype ✓Integral part of the unified collective for unified workflows
- Bundle Size Efficiency
- marked ✓Significantly smaller, optimized for frontend performancerehypeLarger, reflecting its comprehensive processing capabilities
- Primary Use Case Focus
- marked ✓Rapid Markdown rendering and content displayrehypeComplex HTML processing, sanitization, and content transformation
- Extensibility Mechanism
- markedConfiguration and custom renderers for extending functionalityrehype ✓Extensive plugin system for composing processing pipelines
- Architectural Flexibility
- markedMore rigid, single-purpose parser designrehype ✓Highly flexible, adaptable to diverse processing chains
- Performance Characteristics
- marked ✓Optimized for raw parsing speedrehypePerformance varies by plugin, optimized for transformation pipelines
- Content Sanitization Options
- markedBasic sanitization features availablerehype ✓Extensive options through specialized plugins for security
- AST Manipulation Capabilities
- markedLimited direct AST access or manipulationrehype ✓Core functionality is built around AST traversal and modification
- Data Transformation Granularity
- markedLess granular, operates on the Markdown sourcerehype ✓Highly granular, operates on an Abstract Syntax Tree
- Developer Experience for Complex Tasks
- markedCan become cumbersome for intricate manipulation needsrehype ✓Designed for composability and programmatic control
| Criteria | marked | rehype |
|---|---|---|
| Learning Curve | ✓ Generally lower for basic Markdown parsing | Potentially steeper due to AST concepts and plugin ecosystem |
| Tooling Synergy | Relies on standard JavaScript tooling for integration | ✓ Benefits from and integrates with other unified-compatible tools |
| Dependency Footprint | ✓ Minimal dependencies, focused on parsing logic | Part of the unified collective, implies broader ecosystem dependencies |
| Core Processing Model | Direct Markdown to HTML string parsing | ✓ HTML parsing to AST for programmatic manipulation |
| Ecosystem Integration | Standalone solution, well-integrated within its own scope | ✓ Integral part of the unified collective for unified workflows |
| Bundle Size Efficiency | ✓ Significantly smaller, optimized for frontend performance | Larger, reflecting its comprehensive processing capabilities |
| Primary Use Case Focus | ✓ Rapid Markdown rendering and content display | Complex HTML processing, sanitization, and content transformation |
| Extensibility Mechanism | Configuration and custom renderers for extending functionality | ✓ Extensive plugin system for composing processing pipelines |
| Architectural Flexibility | More rigid, single-purpose parser design | ✓ Highly flexible, adaptable to diverse processing chains |
| Performance Characteristics | ✓ Optimized for raw parsing speed | Performance varies by plugin, optimized for transformation pipelines |
| Content Sanitization Options | Basic sanitization features available | ✓ Extensive options through specialized plugins for security |
| AST Manipulation Capabilities | Limited direct AST access or manipulation | ✓ Core functionality is built around AST traversal and modification |
| Data Transformation Granularity | Less granular, operates on the Markdown source | ✓ Highly granular, operates on an Abstract Syntax Tree |
| Developer Experience for Complex Tasks | Can become cumbersome for intricate manipulation needs | ✓ Designed for composability and programmatic control |
Marked is a high-performance Markdown parser engineered for speed and ease of use, making it an excellent choice for applications where rapid Markdown-to-HTML conversion is paramount. Its core philosophy centers on delivering a robust parsing engine with minimal configuration, primarily serving developers who need a straightforward solution for rendering Markdown content in web applications, static site generators, or documentation platforms. Marked excels in scenarios demanding quick processing of user-generated content or large volumes of Markdown files without imposing complex dependencies or architectural overhead.
Rehype, on the other hand, functions as a powerful HTML processor that operates within the unified collective, emphasizing a plugin-driven architecture for extensive customization and transformation of HTML. Its philosophy is rooted in abstract syntax trees (ASTs) and a compositional approach, appealing to developers who require fine-grained control over HTML manipulation, content sanitization, or complex content pipelines. Rehype is particularly well-suited for building sophisticated content processing systems where multiple transformations and integrations are necessary.
A key architectural difference lies in their fundamental approach to processing. Marked is a direct parser that takes Markdown input and outputs HTML strings. Rehype, however, parses HTML into an AST, which can then be processed by various plugins before being stringified back into HTML. This AST-centric model in rehype offers a more programmatic and extensible way to handle content compared to marked's more monolithic parsing function.
This difference in architecture leads to distinct extension models. Marked offers configuration options and a way to extend its functionality through custom renderers, but its extensibility is generally less modular than rehype's. Rehype's strength is its rich plugin ecosystem, allowing developers to compose complex processing pipelines by chaining together numerous specialized plugins that modify the AST at different stages, providing unparalleled flexibility.
From a developer experience perspective, marked typically presents a lower barrier to entry for simple use cases due to its direct API and focus on speed. Rehype, while powerful, may involve a steeper learning curve due to its AST-based processing and the need to understand its plugin system and the broader unified ecosystem. However, for developers already familiar with AST manipulation or those building complex content workflows, rehype's structured approach can be more efficient and maintainable in the long run.
Regarding performance and bundle size, marked demonstrates a significant advantage in bundle size at 12.9 kB (gzip), making it a compelling option for frontend applications where minimizing load times is critical. Rehype's bundle size is larger at 70.0 kB (gzip), reflecting its more extensive feature set and plugin-oriented design. While marked is generally faster for direct Markdown parsing due to its optimized C++ bindings in some runtimes and simpler architecture, rehype's AST processing can be highly efficient for complex transformations when optimized plugins are used.
When choosing between them, developers should consider marked for straightforward Markdown rendering where speed and simplicity are key, such as displaying blog posts or README files. If the project involves extensive HTML manipulation, sanitization requirements beyond basic Markdown, or integration with other AST-based tools, rehype offers a more robust and adaptable platform. For instance, if you need to transform HTML generated by another tool or apply multiple security-focused transformations before rendering, rehype is the better fit.
The ecosystem surrounding rehype is part of the larger unified collective, which includes related tools like remark (for Markdown ASTs) and retext (for prose). This interconnectedness means that rehype can seamlessly integrate with other unified-compatible tools, facilitating complex content processing pipelines. Marked, while popular and well-supported, is more of a standalone solution without this broad, integrated ecosystem of AST processors.
Emerging trends in web development often involve sophisticated content management and transformation. Rehype's AST-based approach positions it well for these trends, allowing for advanced content generation and manipulation, such as integrating with static site generators that rely heavily on ASTs for advanced features or implementing complex accessibility transformations. Marked remains an excellent choice for its core competency: fast and reliable Markdown parsing, a requirement that persists across many application types.
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