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API Performance Checker

A command-line tool for testing API performance by sending multiple requests and measuring key metrics such as response times and concurrency handling.

npm version downloads

Quick start

Install globally and run a quick test:

npm install -g api-performance-checker
apitest -u https://jsonplaceholder.typicode.com/posts -n 10 -c 2

Package on npm: https://www.npmjs.com/package/api-performance-checker

Installation from npm

npm install -g api-performance-checker

Usage

1. Command-Line Arguments

Run directly from the command line by specifying all options:

apitest -u <API_URL> -n <NUMBER_OF_REQUESTS> -c <CONCURRENCY_LEVEL> -t <TIMEOUT_MS> -m <METHOD> -H '{"Header":"Value"}' -o <OUTPUT_FILE>

Example:

apitest -u https://jsonplaceholder.typicode.com/posts -n 20 -c 5 -t 5000 -m GET -o results.json

2. Using a Config File

Create a config.json file with your options. This is useful for many or repeated arguments:

{
  "url": "https://jsonplaceholder.typicode.com/posts",
  "requests": 20,
  "concurrency": 5,
  "timeout": 5000,
  "method": "GET",
  "headers": {
    "Header": "Value"
  },
  "output": "results.json"
}

Run with:

apitest --config config.json

The path to the config file can be relative (e.g., ./config.json) or absolute (e.g., C:/Users/YourName/config.json).

Config File Options & Types

  • url (string, required): API URL to test
  • requests (integer, optional): Number of requests(default 10)
  • concurrency (integer, optional): Concurrent requests(default 5)
  • timeout (integer, optional): Request timeout in ms(default 5000)
  • method (string, optional): HTTP method (GET, default.)
  • headers (object, optional): Custom headers
  • output (string, optional): Output results(default results.json )

Output

If you specify the -o ,--output option or include output in your config file, results will be saved as a JSON file with all key metrics.

Notes

  • You can use either command line options or a config file.
  • The config file must be valid JSON.

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A command-line tool for testing API performance by sending multiple requests and measuring key metrics such as response times and concurrency handling.

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