Tabby

What is Tabby?

Tabby is a self-hosted AI programming assistant that provides developers with an alternative to open-source and on-premises deployment. It supports leveraging large models of third-party open-source code (such as StarCoder, CodeLlama, and DeepseekCoder) to achieve functionality similar to GitHub Copilot. Tabby is designed to help developers improve their programming efficiency and experience by providing code suggestions, auto-completion, and other programming-related assistance features.

GitHub address: https://github.com/TabbyML/tabby

Tabby’s main functions

• Code auto-completion : Tabby can automatically complete lines of code based on context, providing suggestions for completing single lines of code or entire functions, thereby reducing typing and speeding up coding.
• Code suggestions : When writing code, Tabby can provide relevant code snippets to help developers quickly implement specific functions or structures.
• Multi-line code generation : Tabby can not only complete single-line code, but also generate multi-line code snippets, including loops, conditional statements, function definitions, etc.
• Function and class generation : Tabby can suggest or automatically generate the structure of an entire function or class, including parameters, return type, and method implementation.
• Error detection and correction : Tabby can identify potential errors in code and provide correction suggestions to help developers maintain code quality.
• Code optimization : Tabby can provide code optimization suggestions based on best practices to help developers write more efficient and elegant code.
• Language and framework support : Tabby supports a variety of programming languages ​​(such as Python and JavaScript) and frameworks, making it adaptable to the needs of different developers.
• IDE compatibility : Tabby offers plugins compatible with popular IDEs such as Visual Studio Code and IntelliJ, allowing developers to use Tabby’s functionality directly in their familiar development environments.
• Self-hosted and Custom : Because 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, which allows other applications and services to easily integrate with Tabby and extend its functionality.

Tabby supports large models

• 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