Self-hosted, open-source AI coding assistant offering on-premises alternative to GitHub Copilot with fine-tuning capabilities on private repositories.
See Tabby provide code completions trained on your private codebase patterns.
💡 This is a simulated example demonstrating typical Tabby capabilities. No actual LLM call is made.
| Core Competency | Self-Hosted Deployment, Privacy-Focused Development, On-Premises Enterprise, Open Source Projects, Air-Gapped Environments |
|---|---|
| AI Architecture | Supports CodeLlama, StarCoder, CodeGen, and other open coding LLMs. Fine-tunable on private repositories. |
| Context Window | Depends on selected model. Context Providers enable enriched project understanding. |
| Deployment | Enterprise: Cloud, On-premise, Air-gapped |
| Offline Support | No - Requires internet connection |
| IDE Integration | VS Code, JetBrains IDEs, Neovim, and any editor supporting OpenAPI-compatible backends. |
| Company Maturity | 3 years |
| Pricing Model | Freemium - Basic features |
Visual breakdown of this tool's performance across six key evaluation criteria
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Tabby fills a critical niche: organizations that need AI coding assistance but cannot send code to external cloud services. As an open-source, self-hosted alternative to Copilot, it's ideal for finance, healthcare, government, and other regulated industries. The ability to fine-tune on private repositories means suggestions improve with your specific codebase patterns over time. While it may not match the raw performance of cloud-based tools with frontier models, the privacy guarantees and zero data exposure make it the go-to choice for security-conscious teams.
Tabby offers solid AI development capabilities with specific technical strengths. Unique offline capabilities make it suitable for security-conscious enterprise environments. Flexible deployment options address diverse enterprise security and compliance requirements. Best suited for developers requiring advanced AI assistance in their primary development workflow.
**Experienced developers** working in specialized domains or with specific technical requirements. Particularly suited for **security-conscious organizations** in finance, healthcare, or government sectors requiring on-premise deployments.
Status: Open-source project (TabbyML)
Founded: 2023
Backing: Open-source community-driven development
Yes, Tabby offers a free tier with Self-hosted deployment and Up to 5 users. Paid plans start at Contact Sales/month for additional features.
Supports CodeLlama, StarCoder, CodeGen, and other open coding LLMs. Fine-tunable on private repositories.
Tabby supports VS Code, JetBrains IDEs, Neovim, and any editor supporting OpenAPI-compatible backends..
Tabby requires an internet connection. Fully offline capable—no internet required after initial setup.
Tabby scores 76/100 versus Claude Code's 98/100. Tabby excels at Self-Hosted Deployment and Privacy-Focused Development, while Claude Code is known for Agentic Coding and Complex Refactoring.
Tabby is best suited for Self-Hosted Deployment, Privacy-Focused Development, On-Premises Enterprise, Open Source Projects, Air-Gapped Environments. Regulated industry development (finance, healthcare, government) where code cannot leave organizatio
Depends on selected model. Context Providers enable enriched project understanding.
Primary references: blog, docs, release notes, API, and status pages.
| Plan | Price | Features |
|---|---|---|
| Community | Free |
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| Team | Contact Sales |
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| Enterprise | Contact Sales |
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Pricing information last verified: February 2026. Visit official pricing page for current rates.
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