Welcome to the Ommeter documentation! Ommeter is a powerful open-source testing framework for measuring the performance of your Objective-C or Swift code. Whether you are developing iOS or macOS applications, Ommeter provides valuable insights into the efficiency of your code.
Installation
To get started with Ommeter in your Xcode project, you can install it via CocoaPods or manually by following these steps:
- Open your project in Xcode.
- Go to “File” > “Swift Packages” > “Add Package Dependency…”.
- Enter the URL of Ommeter’s GitHub repository:
https://github.com/ommeter/ommeter
. - Choose the latest version and click “Next”.
- Specify the target in your project where you want to add Ommeter and click “Finish”.
Usage
With Ommeter, you can easily measure the performance of your code by using timings called “Ommeters”. Below is an example of how to use Ommeter in your code:
import Ommeter
func computeSum() {
let ommeter = Ommeter(label: "Sum Calculation")
ommeter.start()
// Perform your code here...
ommeter.stop()
}
Features
Accurate Performance Measurements
Ommeter provides accurate timing measurements, allowing you to identify the bottlenecks in your code effortlessly. With its high-precision timer, you can trust the performance data it generates.
Easy Integration
Ommeter is designed to be easy to integrate into your existing projects. With just a few lines of code, you can start measuring performance and optimizing your application right away.
Custom Labels
Ommeter allows you to customize labels, enabling you to categorize and compare multiple timings in your code. This feature helps you identify the specific sections that might need improvement.
Performance Insights
By utilizing Ommeter, you can gain valuable insights into the performance of your code. With its generated reports, you can understand exactly where your application spends the most time and focus on optimization accordingly.
Contributing
Ommeter is an open-source project, and we welcome contributions from the community! If you encounter any issues, have ideas for improvements, or want to contribute code, please visit the Ommeter GitHub repository.
Thank you for choosing Ommeter! We hope it helps you optimize the performance of your code effectively.