Tabby

What is Tabby?

Tabby is a self-hosted AI programming assistant that provides developers with an open-source and locally deployable alternative. It supports the use of third-party open-source code large models (such as StarCoder, CodeLlama, and DeepseekCoder) to achieve functionality similar to GitHub Copilot. The design goal of Tabby is to help developers improve their programming efficiency and experience by offering features like code suggestions, autocompletion, and other programming-related assistance.

The main functions of Tabby

• Code Auto-Completion: Tabby can automatically complete code lines based on the context, providing suggestions for single lines of code or entire functions, thereby reducing typing effort and speeding up the coding process.
• Code Suggestions: While writing code, Tabby can offer relevant code snippet suggestions to help developers quickly implement specific features or structures.
• Multi-line Code Generation: Tabby can not only complete single lines of code but also generate multi-line code snippets, including loops, conditional statements, function definitions, and more.
• Function and Class Generation: Tabby can suggest or automatically generate the structure of entire functions or classes, including parameters, return types, and method implementations.
• Error Detection and Correction: Tabby can identify potential errors in the code and provide suggestions for corrections, helping developers maintain code quality.
• Code Optimization: Tabby can offer code optimization suggestions based on best practices, assisting developers in writing more efficient and elegant code.
• Language and Framework Support: Tabby supports multiple programming languages (such as Python, JavaScript) and frameworks, enabling it to meet the needs of different developers.
• IDE Plugin Compatibility: Tabby provides plugins compatible with popular IDEs, such as Visual Studio Code and IntelliJ, allowing developers to use Tabby’s features directly within their familiar development environments.
• Self-hosting and Customization: As Tabby is self-hosted, users can configure and run the Tabby server according to their own needs and security standards.
• OpenAPI Interface: Tabby provides an OpenAPI interface, enabling other applications and services to easily integrate with Tabby and extend its functionality.

The large models supported by Tabby

• Code Completion Models: StarCoder-1B, StarCoder-3B, StarCoder-7B, CodeLlama-7B, CodeLlama-13B, DeepseekCoder-1.3B, DeepseekCoder-6.7B
• Dialogue Models: WizardCoder-3B, Mistral-7B