Continue vs Tabby
Side-by-side comparison built from DeepYard's structured catalog. Content updated Aug 21, 2026.
Direct Answer
Continue suits teams needing open-source access, vscode focus, and 35,580 GitHub stars in current listing data. Tabby suits teams needing open-source access, self hosted focus, and 33,832 GitHub stars in current listing data. This summary reflects catalog metadata only for decision support, not independent testing.
What this comparison weighs
- Pricing and free-tier availability
- License model and deployment fit
- GitHub adoption and contributor depth
- Catalog tags, integrations, and supported workflows
| Metric | Continue | Tabby |
|---|---|---|
| GitHub Stars | 35.6K | 33.8K |
| Contributors | 393 | 117 |
| Last Commit | Aug 20, 2026 | Jun 30, 2026 |
| Open Issues | 935 | 329 |
| License | open-source | open-source |
| Pricing | open-source | open-source |
| Free Tier | Yes | Yes |
| Category | agents | agents |
| Trending | No | No |
Choose Continue if you need
- • Continue stands out for Vscode workflows that are not listed for Tabby.
- • Continue is the stronger pick when Claude matters because that capability is listed only on its profile.
- • Continue shows broader GitHub adoption with 35,580 stars versus 33,832 for Tabby.
Choose Tabby if you need
- • Tabby stands out for Self Hosted workflows that are not listed for Continue.
- • Tabby is the stronger pick when Local Llm matters because that capability is listed only on its profile.
- • Tabby is the cleaner fit if you specifically need Self Hosted workflows from the catalog tags.
Meaningful differences
- • Workflow emphasis: Continue highlights Vscode, while Tabby highlights Self Hosted.
- • GitHub adoption: Continue shows 35,580 stars versus 33,832 for Tabby.
- • Contributor count: Continue lists 393 contributors and Tabby lists 117.
Shared capabilities
- • Ide
- • Open Source
- • Any Openai Compatible
Shared Tags
Only in Continue
Only in Tabby
Limitations and evidence
- • DeepYard compares structured public metadata; this is not an independent benchmark unless a test record is shown.
- • Signals such as stars, contributors, and last commit indicate public activity, not purchase fit or runtime quality.
- • Pricing and feature coverage reflect the stored listing snapshot and may lag vendor changes between refreshes.
About Continue
Continue is the leading open-source AI code assistant that works in VS Code and JetBrains. It connects to any LLM (cloud or local) and provides autocomplete, chat, inline editing, and codebase-aware context. Fully customizable with the ability to add your own context providers, slash commands, and model configurations.
View full listingAbout Tabby
Tabby is a self-hosted AI coding assistant offering code completion, chat, and code explanation. Runs entirely on your own infrastructure with no data leaving your environment. Supports major IDEs (VS Code, JetBrains, Vim), integrates with any OpenAI-compatible model, and includes a built-in RAG engine for codebase-aware responses.
View full listing