Learn how Cody and Tabby differ in their key features, development activity, technology stack and community adoption, so you can decide which of these ai coding assistants is best for you.
Stars
Forks
Last commit
Repository age
License
Activity score

Stars
Forks
Last commit
Repository age
Self-hosted
Activity score

Tabby appears to have several advantages over Cody, particularly in popularity, maturity and features. Consider your specific needs regarding popularity, activity, technology, maturity, licensing and features when making your decision.
Tabby significantly outpaces Cody in community adoption with 33,691 stars compared to 87 stars on GitHub. This 387.3x difference suggests Tabby has a much larger and more active community. In terms of developer contributions, Tabby has 1,764 forks, indicating strong developer engagement.
Both projects show recent activity, with Cody last updated 2 days ago and Tabby 14 days ago.
Both tools share common technology foundations, being built with JavaScript, CSS, Bash, Typescript, JSX, Python, Rust, Java, C++, Kotlin. However, they differ in their additional technology choices: Cody uses Golang, C, PHP while Tabby leverages Next.js, Lua.
Tabby has been in development longer, starting 3 years ago, compared to Cody which began 2 years ago. This 1.3-year head start suggests Tabby may have more mature features and established processes.
Cody is licensed under Apache-2.0, while Tabby's license terms are not publicly specified.
Both tools serve similar use cases in AI Coding Assistants.
Tabby provides self-hosting options for complete data control and customization, while Cody may be primarily cloud-based or require different deployment approaches.