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Continue vs Tabby

Learn how Continue and Tabby differ in their key features, development activity, technology stack and community adoption, so you can decide which of these tools is best for you.

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Favicon of Continue

Continue

Runs source-controlled AI checks on every pull request, enforcing your engineering standards as native GitHub status checks with suggested fixes.
  • Stars


    34,825
  • Forks


    5,020
  • Last commit


    7 hours ago
  • Repository age


    3 years
  • License


    Apache-2.0
View Repository
Screenshot of Continue
Favicon of Tabby

Tabby

Self-hosted AI coding assistant that enhances productivity with context-aware suggestions and privacy-focused implementation.
  • Stars


    33,689
  • Forks


    1,763
  • Last commit


    11 days ago
  • Repository age


    3 years
  • Self-hosted


    Yes
View Repository
Screenshot of Tabby

Detailed Comparison

Both Continue and Tabby have their unique strengths and serve similar purposes effectively. Consider your specific needs regarding popularity, activity, technology, maturity, licensing and features when making your decision.

Comparable
Community & Popularity

Both Continue and Tabby show comparable community engagement with 34,825 and 33,689 stars respectively. In terms of developer contributions, Continue has 5,020 forks, indicating strong developer engagement.

Comparable
Development Activity

Both projects show recent activity, with Continue last updated 7 hours ago and Tabby 11 days ago.

Comparable
Technology Stack

Both tools share common technology foundations, being built with JavaScript, CSS, Bash, Typescript, JSX, Python, Rust, Java, Kotlin. However, they differ in their additional technology choices: Continue uses Golang, PHP, Ruby, C#, Django while Tabby leverages Next.js, C++, Lua.

Comparable
Project Maturity

Both projects started around the same time, with Continue beginning 3 years ago and Tabby 3 years ago.

Continue wins
Licensing

Continue is licensed under Apache-2.0, while Tabby's license terms are not publicly specified.

Comparable
Use Cases & Features

Continue also focuses on AI Code Reviewers while Tabby extends into AI Coding Assistants.

Tabby wins
Hosting & Deployment

Tabby provides self-hosting options for complete data control and customization, while Continue may be primarily cloud-based or require different deployment approaches.