Self-hosted, open-source AI code completion assistant.
An open-source, self-hosted code-completion assistant for teams that want control over where AI coding infrastructure runs.
Independent analysis based on official public sources (pricing pages, documentation, release notes) — not a sponsored review or a hands-on test.
Self-hosted, open-source AI code completion assistant.
Tabby uses a freemium model: there is a real free plan, and paid plans start at $19 per month on a monthly-billing basis.
Tabby is one of 41 AI Coding tools tracked on ToolScanner. You can compare it side by side with alternatives, check verified monthly-billing prices, and add it to your AI stack to see what your whole setup costs.
Tabby is positioned as self-hosted, emphasizing organization control over the assistant’s environment.
The product is described as open source, relevant for teams that want transparency and the ability to operate their own instance.
Autocomplete is a listed capability and the core workflow Tabby is designed to support.
Team-oriented capabilities are listed, making it relevant to organizational rather than solely personal adoption.
Tabby’s self-hosted positioning is the central reason to consider it when code-context control matters more than adopting a hosted assistant quickly.
Its open-source model makes Tabby a credible option for teams prepared to own deployment and ongoing operations.
Autocomplete is a stated product capability, making Tabby relevant when inline completion—not an AI-native editor—is the primary need.
Tabby is positioned as a self-hosted AI code-completion assistant, which can suit organizations that need to keep the service within their own environment.
The open-source approach is meaningful for buyers who value inspectability and operational control rather than treating the coding assistant as a black-box hosted service.
Tabby’s autocomplete focus is a practical fit for developers who want suggestions in the coding flow without necessarily moving to an agent-first development environment.
Team features are listed, so Tabby is not limited to an individual-developer use case.
Control comes with responsibility: deployment, access management, model and infrastructure choices, and maintenance should be evaluated before standardizing on Tabby.
The stated focus is code completion. Buyers prioritizing multi-file refactors and agent-driven workflows should compare AI-first editors closely.
Pricing starts at $19 per month. Confirm what that price covers, how it applies to teams, and which self-hosting costs remain separate on Tabby’s official pricing page.
Run an AI completion service in an organization-controlled environment where governance of code context is a procurement priority.
Offer a common completion assistant to internal engineering teams while retaining ownership of the deployment model.
Adopt AI suggestions for routine coding tasks without making an AI-first editor the center of the development workflow.
Tabby starts at $19 per month according to its pricing information, verified 2026-07-23.
A free plan is available, but buyers should review the current pricing page for included limits and the distinction between product pricing and the cost of operating self-hosted infrastructure.
There is no free trial listed. For a self-hosted product, a technical evaluation of deployment requirements is more useful than assuming a conventional trial workflow.
A free plan is listed.
The available information does not establish the free plan’s usage limits or included team capabilities; confirm these directly before planning a rollout.
Tabby’s distinguishing proposition is self-hosting and open-source operation, whereas GitHub Copilot is the more direct comparison for teams seeking a quick, established editor-completion rollout within a GitHub-centered workflow.
Tabby is centered on self-hosted autocomplete; Cursor is the stronger fit when the priority is an AI-first editor with multi-file refactors and agentic coding workflows.
Both appeal to buyers seeking more control than a purely hosted assistant. Tabby is specifically positioned as a self-hosted code-completion assistant, while Continue is worth evaluating when its lower listed starting price and workflow fit are more important.
Other tools in the same category.
GitHub's AI pair programmer for code completion inside your editor.
Best for Autocomplete inside your existing editor
AI coding assistant built into JetBrains IDEs.
Best for coding app for developers
An AI-first code editor built for pair-programming with AI.
Best for AI-first coding as your primary editor
Open-source AI coding agent that can edit files and run terminal commands.
Best for coding app for developers
AI code completion tool that can run fully on your own infrastructure.
Open-source AI coding assistant for autocomplete and chat in your editor.
Prefer GitHub Copilot when your team already works heavily in GitHub and wants quick inline suggestions in its existing editor workflow rather than operating a self-hosted service.
Prefer Cursor when developers want an AI-first primary editor, especially for multi-file refactors and agentic coding tasks.
Prefer JetBrains AI Assistant when the team’s development environment is centered on JetBrains IDEs and wants AI assistance aligned to that IDE workflow.
Prefer Cline when you want to explore an AI code-editor workflow with a listed $0 starting price and are not specifically selecting for Tabby’s self-hosted completion positioning.
The factual claims above (pricing, plans, features, platforms, limits) were checked against these official sources on the dates shown. Vendors change plans at any time — always confirm on the official site before purchasing.
Tabby is described as a self-hosted, open-source AI code-completion assistant. That makes it better evaluated as software your organization operates, rather than only as a hosted-seat purchase.
Its listed core capability is code autocomplete. Teams seeking broad agentic development, such as multi-file refactors, should compare alternatives built around those workflows.
Yes, a free plan is listed. The published information available here does not specify its limits, so review the current pricing page before relying on it for a team rollout.
The strongest reason is the self-hosted, open-source operating model. If retaining control of the assistant’s environment is a central requirement, Tabby deserves serious evaluation; if rapid GitHub-centered adoption is the priority, Copilot may be simpler.
For self-hosting, account for the operational work and infrastructure needed to deploy and maintain the service. The official pricing page should be checked for what the listed plan price includes.
Yes — Tabby has a free plan you can start with. Paid plans start at $19 per month.
Paid plans start at $19 per month on a monthly-billing basis (last verified 2026-07-23). Annual billing, higher tiers, and regional pricing can differ.
No free trial is listed for Tabby, but the free plan lets you try it without paying.
Self-hosted, open-source AI code completion assistant. On ToolScanner, Tabby is listed under AI Coding.
Popular AI Coding alternatives include GitHub Copilot, JetBrains AI Assistant, Cursor, Cline, Tabnine. You can compare any of them with Tabby side by side on ToolScanner.
On the official website — providers change prices and plans at any time, so always confirm there before purchasing. ToolScanner shows the monthly-billing price as of our last check (last verified 2026-07-23).