Tabby
Open-source, self-hosted AI coding assistant for VS Code and JetBrains - keeps all code on your servers with local model support and 22,000+ GitHub stars.
Tabby is an open-source, self-hosted alternative to GitHub Copilot that lets engineering teams run AI code completion entirely within their own infrastructure. Teams deploy Tabby on their own servers, configure it with a local model - StarCoder2, CodeLlama, DeepSeek Coder, or others - and connect it through VS Code, JetBrains, and Neovim plugins. Because all inference happens locally, no source code is ever sent to an external API. Tabby has 22,000+ GitHub stars and is widely adopted by teams in regulated industries where cloud code completion tools are blocked by compliance policies. An Enterprise plan adds admin controls, team management, and dedicated support.
Key Features
- Self-hosted deployment - run the inference server on your own GPU or CPU hardware
- Local model support for StarCoder2, CodeLlama, DeepSeek Coder, and custom GGUF models
- VS Code, JetBrains, and Neovim plugins for inline code completion
- Zero data egress - no source code ever leaves your network
- Repository context indexing for codebase-aware completions across local files
- Answer engine for asking questions about code and getting explanations in chat
- Enterprise admin panel with team management, usage analytics, and SSO support
Use Cases
- Teams in finance, healthcare, and defense that cannot use cloud AI tools due to compliance or IP policies
- Self-hosted infrastructure teams building internal developer tooling without third-party API dependencies
- Open-source contributors who want free code completion without usage limits or data collection
- Enterprises evaluating self-hosted coding AI before committing to a cloud-based enterprise plan
Pros
- Full code privacy - self-hosted inference means no source code ever reaches an external server
- 22,000+ GitHub stars and active community make it the most adopted open-source Copilot alternative
- Compatible with any GGUF-format model - teams can swap models without changing their editor plugins
Cons
- Requires GPU hardware or significant CPU resources to self-host - not zero-cost in infrastructure terms
- Completion quality depends on the model chosen - smaller local models lag behind cloud-based alternatives
- Setup requires DevOps knowledge - not a simple install for teams without infrastructure experience
Tabby Alternatives
Explore similar tools and alternatives
Looking for alternatives to Tabby? Here are some similar tools you might like:
GitHub Copilot
AI pair programmer by GitHub/OpenAI that suggests code completions, functions, and entire files in your IDE.
Codeium
Free AI code completion extension for 70+ languages and 40+ IDEs, with privacy-first options and enterprise air-gapped deployment.
Supermaven
AI code completion with a 1M token context window for VS Code and JetBrains - sees your full codebase for highly relevant inline suggestions.
Tabby is also listed as an alternative to:
Ready to try Tabby?
Visit the official website to explore all features and get started with Tabby today.
Reviews
0 reviews for Tabby
Based on 0 reviews
Share your experience
Log in to write a review for Tabby
Ito
Only code review that runs your code. Provides runtime analysis with evidence (logs, video, screenshot) to show how code changes application actually work. Back-end, front-end, api, integration.
Cursor
AI-native code editor built on VS Code with built-in AI chat, autocomplete, and codebase understanding.
GitHub Copilot
AI pair programmer by GitHub/OpenAI that suggests code completions, functions, and entire files in your IDE.
Have an AI Tool?
List your AI tool for free, or go featured for top placement in your category - and reach thousands of potential users.
Submit Your Tool