What is Tabby
Tabby is a self-hostedAI programming assistantprovides developers with an open source and local deployment alternative, supporting the use of third-party open source code large models (such as StarCoder, CodeLlama, DeepseekCoder) to achieve functions similar to GitHub Copilot. Tabby’s design goal is to help developers improve their programming efficiency and experience by providing code suggestions, auto-completion, and other programming-related auxiliary functions.
GitHub address:https://github.com/TabbyML/tabby
Tabby’s main features
- Code auto-completion: Tabby autocompletes lines of code based on context, suggesting completions for single lines of code or entire functions, reducing typing and coding faster.
- Code suggestions: When writing code, Tabby can provide relevant code snippet suggestions to help developers quickly implement specific functions 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 the 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 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 multiple programming languages (such as Python, JavaScript) and frameworks, making it adaptable to the needs of different developers.
- Compatible with IDE plug-ins: Tabby provides plug-ins that are compatible with popular IDEs, such as Visual Studio Code and IntelliJ, allowing developers to use Tabby’s functionality directly in their familiar development environment.
- Self-hosted and customized: Since Tabby is self-hosted, users can configure and run Tabby servers according to their own needs and security standards.
- Open API interface: Tabby provides an OpenAPI interface so that other applications and services can easily 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
- dialogue model：WizardCoder-3B、Mistral-7B
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