Hisar

A Load Testing Tool

Hisar is a fast Python-based load testing tool designed to test the performance and robustness of your APIs and web applications. With Hisar, simulate thousands of requests and evaluate system behavior under stress.

✨ Features

• Easy to Use: Simple, intuitive command-line interface for quick load tests.
• Highly Scalable: Test thousands of concurrent users.
• Real-Time Metrics: View request success rates, latency, and throughput.
• Customizable: Set custom headers, payloads, and authentication.
• Multi-Protocol Support: HTTP/HTTPS, WebSocket, gRPC, and more.
• Integration Ready: CI/CD integration for automated performance testing.
• Detailed Reporting: Generate performance reports in CSV, JSON, or HTML formats.

🚀 Quick Start

Installation

You can install Hisar via pip:

pip install hisar

Basic Usage

Run a basic load test with a specified number of users and request rate:

hisar -u 100 -n 10 --url https://example.com/api

• -u: Number of concurrent users.
• -n: Requests per second.
• --url: The target URL to test.

Advanced Usage

Customize headers, payloads, and authentication for more complex tests:

hisar -u 500 -n 50 \
  --headers '{"Authorization": "Bearer YOUR_TOKEN"}' \
  --data '{"key": "value"}' \
  https://example.com/api

📋 Generate Reports

Generate a detailed report after the test:

hisar -r html --output report.html https://example.com/api

• Supported formats: csv, json, html.

🛠️ Configuration Options

Hisar offers a wide range of configuration options:

• Concurrency: Number of concurrent users.
• Request Rate: Number of requests per second.
• Timeout: Set request timeout.
• Authentication: Support for OAuth, Basic Auth, etc.
• Payloads: Support for JSON, form-data, and more.
• Custom Headers: Add custom request headers.

🧪 Example Test Scenarios

Scenario 1: Simple API Load Test

hisar -u 200 -n 20 https://api.yourservice.com/endpoint

Scenario 2: WebSocket Test

hisar -u 100 ws://yourservice.com/socket

Scenario 3: gRPC Test

hisar -u 50 --grpc https://grpc.yourservice.com/Service/Method

🎯 Use Cases

• API Performance Testing: Test RESTful or gRPC APIs under heavy load.
• WebSocket Testing: Simulate real-time connections at scale.
• Stress Testing: Push your service to its limits and identify breaking points.
• Automated Testing: Integrate into CI/CD pipelines to run automated performance tests.

💻 Contributing

We welcome contributions from the community! If you want to contribute:

1. Fork the repository.
2. Create a new branch (git checkout -b feature/your-feature).
3. Commit your changes (git commit -m 'Add new feature').
4. Push to the branch (git push origin feature/your-feature).
5. Open a Pull Request.

See the CONTRIBUTING.md for more details.

📝 License

This project is licensed under the MIT License. See the LICENSE file for more details.