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GitHub Copilot vs Tabby

A side-by-side look at GitHub Copilot (the paid SaaS) and Tabby (the open source alternative). Use this page to decide if the switch fits your team and workflow.

GitHub Copilot Tabby
Tagline AI pair programmer trained on public code. Self-hosted AI coding assistant you can run on your own GPU.
License Proprietary SaaS Apache-2.0 (community) / commercial (enterprise)
Pricing Individual $10/month; Business $19/user/month. Free to self-host
Self-host option No Yes — difficulty 3/5
Hosted cloud available Yes (only option) No
Desktop apps Varies by product Web only
Mobile apps Official apps typically available None official
Ad slot — between tables

Best for

Teams that need fully self-hosted completions on their own GPU.

Tabby strengths

  • Fully self-hosted code completion.
  • VS Code, IntelliJ, vim extensions.
  • Runs on consumer GPUs with quantized models.

Tabby weaknesses

  • GPU strongly recommended for good latency.
  • Larger install footprint.
  • Enterprise features gated.

What's the catch with GitHub Copilot?

  • Code sent to Microsoft/OpenAI for completions.
  • Subscription-only.
  • Licensing questions around training data still unresolved for some teams.

Still unsure?

Check the full list of alternatives to GitHub Copilot: see GitHub Copilot alternatives, or learn more about Tabby on its project page.

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GitHub Copilot vs Aider

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