GitHub Copilot vs Tabby
A side-by-side comparison of GitHub Copilot and Tabby — pricing, free tiers, and who each tool is genuinely best for.
| Tagline | AI pair programmer that autocompletes code and chats inside your editor | Self-hosted open-source AI coding assistant |
| Category | AI Coding | AI Coding |
| Pricing | Free tier with limited completions; Pro from ~$10/user/mo; Business ~$19/user/mo; Enterprise ~$39/user/mo | Free and open-source; enterprise support plans available (verify pricing on site) |
| Free tier | ||
| Best for | Developers and teams already living in GitHub and mainstream IDEs who want trusted inline completions plus chat. | Security-focused teams and enterprises that must keep all code on-premises and want full control over the AI model |
| Not for | Teams wanting a fully agentic, repo-rewriting IDE rather than an assistant layered onto their existing editor. | Individual developers who prefer a zero-maintenance cloud service over managing their own server infrastructure |
| Use cases | Inline code completion Code explanation and chat Writing unit tests Refactoring functions Generating boilerplate | On-premise self-hosted code autocomplete Air-gapped environment AI coding support Fine-tuning on internal codebases Open-source model experimentation and research |
| Visit GitHub Copilot | Visit Tabby |
GitHub Copilot
Choose it if: Developers and teams already living in GitHub and mainstream IDEs who want trusted inline completions plus chat.
Tabby
Choose it if: Security-focused teams and enterprises that must keep all code on-premises and want full control over the AI model