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axios vs node-fetchV2
(version: 0)
Comparing performance of:
node-fetch vs axios
Created:
3 years ago
by:
Guest
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HTML Preparation code:
<script src="https://cdn.jsdelivr.net/npm/axios/dist/axios.min.js"></script> <script src="https://cdn.jsdelivr.net/npm/node-fetch@2.6.7/src/index.min.js"></script>
Tests:
node-fetch
fetch('https://www.googleapis.com/discovery/v1/apis') .then(response => response.json()) .then(console.log)
axios
axios.get('https://www.googleapis.com/discovery/v1/apis') .then((response) => response.json()) .then(console.log);
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
node-fetch
axios
Fastest:
N/A
Slowest:
N/A
Latest run results:
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's dive into the world of JavaScript microbenchmarks! **Overview** MeasureThat.net is a website that allows users to create and run JavaScript microbenchmarks, comparing different libraries or approaches to determine which one performs better. **Benchmark Definition JSON** The provided benchmark definition JSON consists of two main parts: 1. **Script Preparation Code**: This section includes the URLs of the required JavaScript libraries: * `axios` from a CDN (Content Delivery Network) * `node-fetch` from a specific version (`@2.6.7`) from the same CDN 2. **Html Preparation Code**: This section includes the HTML code that loads these libraries in the correct order. **Individual Test Cases** The benchmark definition includes two test cases: 1. **node-fetch** * The test case uses the `fetch` API to make a request to the Google Discovery API and logs the response data. 2. **axios** * The test case uses the `axios.get()` method to make a request to the same Google Discovery API and logs the response data. **Library Overview** * **node-fetch**: A Node.js library for making HTTP requests, similar to the built-in `fetch` API in modern browsers. + Purpose: To provide a cross-browser compatible way of making HTTP requests in Node.js applications. * **axios**: A popular JavaScript library for making HTTP requests. + Purpose: To provide a more convenient and feature-rich way of making HTTP requests compared to the built-in `fetch` API. **Comparison** The benchmark compares the performance of `node-fetch` and `axios` when used for making HTTP requests in a Node.js environment. The tests are likely designed to measure the execution speed, response time, and other factors that affect the performance of these libraries. **Pros and Cons** Here's a brief summary of the pros and cons of each library: * **node-fetch** + Pros: Lightweight, easy to use, cross-browser compatible. + Cons: Limited features compared to `axios`. * **axios** + Pros: Feature-rich, supports more HTTP methods, caching, and other advanced features. + Cons: Larger bundle size, more complex API. **Other Alternatives** If you're looking for alternative libraries or approaches, consider: 1. **fetch**: The built-in `fetch` API in modern browsers. 2. **node-http**: Another popular Node.js library for making HTTP requests. 3. **got**: A lightweight library that provides a simple way to make HTTP requests. **Special JavaScript Features or Syntax** None are mentioned in the provided benchmark definition, but some popular features and syntax include: 1. Promises 2. Async/Await 3. Closures 4. Callbacks Keep in mind that these features can significantly impact performance, so it's essential to consider them when optimizing your code. **Other Considerations** When using JavaScript libraries or approaches for benchmarking, keep the following factors in mind: 1. **Browser and Node.js compatibility**: Ensure that the test environment is consistent with the target audience. 2. **Code optimization techniques**: Minimize unnecessary computations, use caching, and leverage browser optimizations (e.g., Web Workers). 3. **Test coverage**: Increase the number of tests to ensure a comprehensive understanding of the performance characteristics. By considering these factors, you'll be better equipped to write effective microbenchmarks that provide valuable insights into your JavaScript code's performance.
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