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Continue vs Tabby

Self-host pick — both replace GitHub Copilot (AI code completion / chat in the IDE).

Both Continue and Tabby self-host as a replacement for GitHub Copilot (AI code completion / chat in the IDE). Pick Continue if you want the lighter footprint — 10min — VS Code or JetBrains plugin + a local model, free for the plugin; model server is the cost line — $0 on a workstation 16gb+ gpu, ~$200/mo on cloud gpu. Pick Tabby if you need teams that want one centrally-hosted code-AI server with admin controls and per-developer usage tracking — 20min docker run with --gpus + plugin install and $200+/mo cloud gpu for the inference server; $0 on a workstation.

Continueopen-sourceTabbyopen-source
LicenseApache-2.0Apache-2.0
Setup time10min — VS Code or JetBrains plugin + a local model20min docker run with --gpus + plugin install
Monthly costFree for the plugin; model server is the cost line — $0 on a workstation 16GB+ GPU, ~$200/mo on cloud GPU.$200+/mo cloud GPU for the inference server; $0 on a workstation. Plugin overhead is negligible.
GitHubcontinuedev/continue ★ 33.2k · last commit 4w agoaliveTabbyML/tabby ★ 33.5k · last commit 2mo agoalive
ReplacesGitHub CopilotGitHub Copilot

Good fit for

Continue

Developers who already run a local model and want the Copilot UX (ghost-text + chat + edit) without the hosted bill.

Weak at:Mobile / web IDEs (Codespaces, GitHub.dev) — Continue is desktop-IDE only.

Tabby

Teams that want one centrally-hosted code-AI server with admin controls and per-developer usage tracking.

Weak at:Chat / agentic edits — Tabby's strength is completion; for chat-heavy workflows pair with Continue or Aider.

In a terminal? npx -y github:SolvoHQ/os-alt-cli github-copilot prints GitHub Copilot's self-host options including both — how the CLI works →

FAQ

Which is easier to self-host, Continue or Tabby?

Continue: 10min — VS Code or JetBrains plugin + a local model. Tabby: 20min docker run with --gpus + plugin install.

What does each cost to run?

Continue: Free for the plugin; model server is the cost line — $0 on a workstation 16GB+ GPU, ~$200/mo on cloud GPU.. Tabby: $200+/mo cloud GPU for the inference server; $0 on a workstation. Plugin overhead is negligible.. Both projects are free and open source.

Do Continue and Tabby replace the same SaaS?

Yes — both are open-source alternatives to GitHub Copilot.