axios vs. got
Side-by-side comparison · 9 metrics · 14 criteria
- Weekly Downloads
- 55.4M
- Stars
- 109.1K
- Size
- 17.2 kB (Gzip Size)
- License
- MIT
- Last Updated
- 3mo ago
- Open Issues
- 148
- Forks
- 11.7K
- Unpacked Size
- 1.7 MB
- Dependencies
- 1
- Weekly Downloads
- 17.0M
- Stars
- 14.9K
- Size
- 1.6 MB (Install Size)
- License
- MIT
- Last Updated
- 5mo ago
- Open Issues
- 0
- Forks
- 988
- Unpacked Size
- 354.9 kB
- Dependencies
- —
axios vs got downloads — last 12 months
Criteria — axios vs got
- Learning Curve
- axios ✓Generally lower learning curve due to its widely adopted, straightforward API.gotMay require slightly more effort to master advanced Node.js-specific features.
- API Familiarity
- axios ✓Presents a promise-based API that is widely understood and easy to adopt.gotOffers a human-friendly API with Node.js specific enhancements.
- Project Maturity
- axios ✓Long-standing project with a vast user base and extensive community validation.gotMature project with a dedicated focus on Node.js, showing active development.
- Extensibility Model
- axios ✓Relies heavily on a flexible interceptor pattern.gotExtensible via URL parsing, plugins, and event listeners for Node.js.
- Node.js Feature Set
- axiosGeneral HTTP client features applicable across environments.got ✓Includes Node.js specific optimizations and advanced protocol support.
- Dependency Footprint
- axiosMay include a more substantial set of dependencies due to cross-environment needs.got ✓Designed for minimal dependencies within the Node.js ecosystem.
- Request Interception
- axios ✓Provides a powerful interceptor system for request and response manipulation.gotOffers a more stream-oriented pipeline for request/response processing.
- Browser Compatibility
- axios ✓Explicitly designed and tested for browser environments.gotNot intended for browser use; specifically targets Node.js.
- Bundle Size Efficiency
- axiosLarger footprint, suitable for applications where size is less critical.got ✓Significantly smaller unpacked size, ideal for performance-sensitive applications.
- Data Handling Approach
- axiosTypically buffers the full response before promise resolution.got ✓Supports stream-based handling for efficient large data transfer.
- TypeScript Integration
- axiosRobust TypeScript definitions for type safety.gotStrong TypeScript support, idiomatic for Node.js development.
- Error Handling Strategy
- axiosStandard promise-based error handling with interceptors.got ✓Comprehensive error handling including stream-based error propagation.
- Environment Compatibility
- axios ✓Designed for dual use in both browser and Node.js environments.gotPrimarily optimized for the Node.js runtime.
- Response Streaming Capabilities
- axiosLess emphasis on native response streaming, buffers data.got ✓Built with stream processing in mind for efficient data handling.
| Criteria | axios | got |
|---|---|---|
| Learning Curve | ✓ Generally lower learning curve due to its widely adopted, straightforward API. | May require slightly more effort to master advanced Node.js-specific features. |
| API Familiarity | ✓ Presents a promise-based API that is widely understood and easy to adopt. | Offers a human-friendly API with Node.js specific enhancements. |
| Project Maturity | ✓ Long-standing project with a vast user base and extensive community validation. | Mature project with a dedicated focus on Node.js, showing active development. |
| Extensibility Model | ✓ Relies heavily on a flexible interceptor pattern. | Extensible via URL parsing, plugins, and event listeners for Node.js. |
| Node.js Feature Set | General HTTP client features applicable across environments. | ✓ Includes Node.js specific optimizations and advanced protocol support. |
| Dependency Footprint | May include a more substantial set of dependencies due to cross-environment needs. | ✓ Designed for minimal dependencies within the Node.js ecosystem. |
| Request Interception | ✓ Provides a powerful interceptor system for request and response manipulation. | Offers a more stream-oriented pipeline for request/response processing. |
| Browser Compatibility | ✓ Explicitly designed and tested for browser environments. | Not intended for browser use; specifically targets Node.js. |
| Bundle Size Efficiency | Larger footprint, suitable for applications where size is less critical. | ✓ Significantly smaller unpacked size, ideal for performance-sensitive applications. |
| Data Handling Approach | Typically buffers the full response before promise resolution. | ✓ Supports stream-based handling for efficient large data transfer. |
| TypeScript Integration | Robust TypeScript definitions for type safety. | Strong TypeScript support, idiomatic for Node.js development. |
| Error Handling Strategy | Standard promise-based error handling with interceptors. | ✓ Comprehensive error handling including stream-based error propagation. |
| Environment Compatibility | ✓ Designed for dual use in both browser and Node.js environments. | Primarily optimized for the Node.js runtime. |
| Response Streaming Capabilities | Less emphasis on native response streaming, buffers data. | ✓ Built with stream processing in mind for efficient data handling. |
Axios is a battle-tested HTTP client designed for broad compatibility across both browser and Node.js environments. Its core philosophy centers on providing a familiar, promise-based API that simplifies making HTTP requests, making it an excellent choice for developers seeking a robust and widely adopted solution for general-purpose web interactions. The extensive community and high download count underscore its status as a de facto standard for many frontend and backend JavaScript projects requiring reliable data fetching.
Got, in contrast, is engineered with a focus on the Node.js ecosystem, aiming for a more human-friendly and feature-rich experience specifically within that runtime. It offers advanced capabilities beyond basic request handling, catering to developers who need finer control over HTTP requests, such as stream manipulation and advanced protocol support. Its design prioritizes a powerful yet intuitive interface for server-side HTTP interactions.
A key architectural divergence lies in their approach to request handling and extensibility. Axios implements a robust interceptor system that allows for global modification of requests and responses before they are handled by then or catch blocks. This makes it easy to implement cross-cutting concerns like authentication headers or response logging in a centralized manner. Got, while also supporting request simplification, leans more towards a pipeline or stream-based processing model, allowing for more granular control over the data flow for advanced use cases.
Another notable technical difference is their handling of request and response data. Axios typically buffers the entire response body before resolving the promise, which is convenient for straightforward JSON APIs. Got, being more stream-oriented, can handle large responses more efficiently by processing them as streams, avoiding the need to load the entire payload into memory. This distinction can be significant when dealing with very large file downloads or streaming data sources where memory consumption is a concern.
From a developer experience standpoint, Axios often presents a gentler learning curve due to its straightforward API mirroring aspects of the native Fetch API but with added promise-based convenience and broader browser support. Got, with its richer feature set tailored for Node.js, might require a slightly deeper dive to fully leverage its capabilities, particularly for advanced stream manipulation or its built-in retry mechanisms. Both offer good TypeScript support, but Got's Node.js-centric features might feel more idiomatic to developers deeply embedded in that environment.
Performance and bundle size considerations are where the packages diverge significantly. Got boasts a considerably smaller unpacked and likely gzipped footprint compared to Axios. This makes Got an attractive option for Node.js applications where minimizing dependencies and package size is critical, such as in serverless functions or microservices. Axios, while larger, compensates with its dual-environment compatibility and extensive feature set, which might be acceptable trade-offs for many applications.
For most common web development tasks, especially those involving both browser and Node.js, Axios is a safe and highly effective choice due to its maturity and widespread adoption. However, if your project is strictly Node.js-based and requires high performance with large data streams, or if you prefer a more stream-native approach to HTTP, Got offers a compelling, more lightweight alternative. Consider Got for performance-critical Node.js services or when memory efficiency with large payloads is paramount.
Migration between these libraries can be straightforward due to the conceptual similarities in making HTTP requests. However, migrating from Axios to Got might involve adapting to stream-based data handling and potentially refactoring logic that relied on Axios's global interceptor behavior to Got's specific plugin or middleware patterns. Conversely, migrating from Got to Axios might involve handling full response buffering where streams were previously used.
When dealing with niche use cases, Got's strong alignment with Node.js internals and its advanced features like automatic decompression and protocol support (e.g., specific HTTP/2 features) can be advantageous. Axios remains the more generalist tool, excelling in consistency across different JavaScript runtimes. Emerging trends in full-stack JavaScript might favor libraries that are highly optimized for specific runtimes, potentially giving Got an edge in performance-sensitive Node.js scenarios, while Axios continues to serve the broad spectrum of web development needs.
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