What is Tabby
Tabby is a self-hostedAI coding assistant, providing developers with an open-source and locally deployed alternative, supporting the use of third-party open-source code large models (such as StarCoder, CodeLlama, DeepseekCoder) to achieve functionality similar to GitHub Copilot. Tabby's design goal is to help developers improve programming efficiency and experience by providing code suggestions, autocompletion, and other programming-related auxiliary features.
GitHub address:https://github.com/TabbyML/tabby
Tabby's main features
- Code autocompletion: Tabby can automatically complete lines of code based on context, providing completion suggestions for single lines of code or entire functions, thereby reducing typing and speeding up coding.
- Code suggestions: While writing code, Tabby can provide relevant code snippet suggestions to help developers quickly implement specific functionality or structures.
- Multi-line code generation: Tabby can not only complete a single line of 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 types, and method implementations.
- Error detection and correction: Tabby can identify potential errors in code and provide correction suggestions, helping developers maintain code quality.
- Code optimization: Tabby can provide code optimization suggestions based on best practices, helping developers write more efficient and more elegant code.
- Language and framework support: Tabby supports multiple programming languages (such as Python, JavaScript) and frameworks, enabling it to adapt to the needs of different developers.
- Compatible with IDE plugins: Tabby provides plugins compatible with popular IDEs, such as Visual Studio Code and IntelliJ, allowing developers to directly use Tabby's features in their familiar development environments.
- Self-hosting and customization: Since 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, making it easy for other applications and services to integrate with Tabby and extend its functionality.
Large models supported by Tabby
- Code completion model：StarCoder-1B、StarCoder-3B、StarCoder-7B、CodeLlama-7B、CodeLlama-13B、DeepseekCoder-1.3B、DeepseekCoder-6.7B
- Chat model：WizardCoder-3B、Mistral-7B
