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LicenseApache-2.0
GitHub stars25.0k
Last commit1 weeks ago
Tags6 topics
Ai CopilotRustCode CompletionPrivacySelf HostedLlm Server
Overview

Why consider Tabby?

Tabby is a self-hosted AI code completion server written in Rust. It serves open-source code models (StarCoder, CodeLlama, DeepSeek-Coder) with GPU acceleration and IDE plugins.

Guided learning

Learn Tabby by building

Practical setup notes, real use cases, and copy-ready examples in one focused guide.

1 min read 2 sections
In this guide2 sections

Overview of Tabby

Tabby gives engineering teams 100% data privacy by hosting proprietary code completion models entirely on on-premise hardware or private cloud clusters.

Running with Docker (GPU)

bash
1docker run -d \
2 --gpus all \
3 --name tabby \
4 -p 8080:8080 \
5 -v $(pwd)/data:/data \
6 tabbyml/tabby serve --model StarCoder-1B --device cuda

Tabby is licensed under the Apache License Version 2.0.

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Tabby FAQs

Tabby is listed as a Ai Machine Learning tool on TiloBox. Review the overview, features, and official documentation on this page to decide whether it solves your specific workflow.

Start with the project's GitHub repository and official website for supported installation and deployment instructions. Test the setup with representative data or a small project before rolling it out more widely.

Tabby is listed under the Apache-2.0 license. Read the complete license text and the project's notices before using, modifying, or distributing the software.

Production readiness depends on your requirements. Review maintenance activity, security practices, documentation, backup and upgrade procedures, and compatibility with your stack; then validate it in a non-production environment.

Tabby is listed as an alternative to GitHub Copilot. Compare the core workflow, deployment model, integrations, and licensing against your must-have requirements before switching.