GitHub Copilot vs Tabby
Which Code Assistant is right for you? See our complete breakdown.
| Feature | GitHub Copilot | Tabby |
|---|---|---|
| MegaOne Score | 7/10 | 6/10 |
| Category | Code Assistant | Code Assistant |
| Pricing Model | Freemium | Open Source |
| Starting Price | $10.00/mo | Free / Open Source |
| Free Tier | Yes | Yes |
| API Available | No | No |
| Open Source | No | No |
| iOS App | No | No |
| Android App | No | No |
| Chrome Extension | No | No |
| Company | GitHub | TabbyML |
| Total Funding | $350M | $3M |
Visual Comparison
About GitHub Copilot
An AI pair programmer that provides code suggestions and automates coding tasks across various IDEs.
GitHub Copilot is an AI coding assistant developed by GitHub and OpenAI that helps developers write code faster by providing inline suggestions, completing code, and automating repetitive tasks. It integrates with popular IDEs like Visual Studio Code and JetBrains IDEs, and offers features such as chat, pull request assistance, and agentic workflows. The tool leverages a multi-model approach, allowing users to select from various large language models optimized for different tasks.
About Tabby
Tabby is a free, open-source, self-hosted AI coding assistant that runs on your own server as an on-premises alternative to GitHub Copilot.
Tabby is a free, open-source (Apache 2.0), self-hosted AI coding assistant designed to run on your own infrastructure via Docker, ensuring code never leaves your network. It provides AI-powered code completion, chat, and repository-aware answers, integrating with popular IDEs like VS Code, JetBrains IDEs, and Vim/Neovim.
GitHub Copilot takes the edge
With a MegaOne score of 7/10 versus 6/10, GitHub Copilot edges ahead of Tabby in our analysis. However, Tabby may still be the better choice depending on your specific use case and budget.