Learn how Forgecode 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.
Last 30 days
Last commit
6 hours agoRepository age
2 yearsVersion
v2.14.0License
Apache-2.0Repository
tailcallhq/forgecode
Last 30 days
Last commit
4 months agoRepository age
4 yearsVersion
v0.32.0License
Apache-2.0Self-hosted
YesRepository
tabbyml/tabby
Tabby appears to have several advantages over Forgecode, particularly in popularity, maturity and features. Consider your specific needs regarding popularity, growth, activity, technology, maturity, licensing and features when making your decision.
Tabby significantly outpaces Forgecode in community adoption with 33,923 stars compared to 7,637 stars on GitHub. This 4.4x difference suggests Tabby has a much larger and more active community. In terms of developer contributions, Tabby has 1,793 forks, indicating strong developer engagement.
Forgecode and Tabby are moving at much the same rate, adding 1 stars and adding 38 stars respectively over the last 30 days (0% vs +0.1%). Neither is pulling away from the other on momentum alone.
Forgecode shows more recent development activity with its last commit 6 hours ago, while Tabby was last updated 4 months ago. This suggests Forgecode is being more actively maintained.
Both tools share common technology foundations, being built with JavaScript, CSS, Bash, Python, Rust. However, they differ in their additional technology choices: Tabby leverages Typescript, JSX, Next.js, Java, C++, Kotlin, Lua.
Tabby has been in development longer, starting 4 years ago, compared to Forgecode which began 2 years ago. This 1.8-year head start suggests Tabby may have more mature features and established processes.
Both projects use the Apache-2.0 license, providing identical terms for usage and distribution.
Both tools serve similar use cases in AI Coding Assistants.
Tabby provides self-hosting options for complete data control and customization, while Forgecode may be primarily cloud-based or require different deployment approaches.