🌟 go-collections - Fast and Flexible Data Structures
🚀 Getting Started
Welcome to go-collections! This application provides you with efficient and easy-to-use data structures for Go 1.25 and above. You can create collections like hash maps and sets without any hassle.
🔗 Download Now

📥 Download & Install
To get started, visit the Releases page on GitHub. Here is how you can download and install:
- Click on the link above.
- Scroll down to find the latest version.
- Choose the file that matches your operating system:
- Windows: Select the .exe file.
- Mac: Choose the appropriate .dmg file.
- Linux: Download the .tar.gz file.
- Click on the file to download it to your computer.
⚙️ System Requirements
- Operating System:
- Windows 10 or later
- macOS 10.14 or later
- Ubuntu 20.04 or later
- Hardware:
- Minimum: 2 GB of RAM
- Recommended: 4 GB of RAM or more
📚 Features
- Type-safe data structures: Ensure that your data remains consistent and error-free.
- Btree support: Quickly search and manage large amounts of data.
- HashMap & HashSet: Store and retrieve data efficiently.
- Iterable sequences: Easily go through your collections with built-in support.
🔧 Usage Instructions
Once you have downloaded and installed go-collections, follow these simple steps to use it:
- Open your terminal or command prompt.
- Navigate to the folder where you installed go-collections.
- Start the application by typing
go-collections and pressing Enter.
- You will see the main interface, where you can create and manage your collections.
For example, to create a new hash map, you can enter a command like:
📖 Documentation
For more detailed instructions and examples, you can refer to our documentation. It covers everything from basic usage to advanced features.
Join our community to get help, share ideas, or report issues. You can find us on GitHub discussions or through the Issues tab. We welcome your feedback!
🔄 Updates
Keep your application fresh! Regular updates will enhance your experience. Check the Releases page periodically for new versions.
Thank you for using go-collections. We hope it helps you manage your data effectively!