Learn how Giselle and Typebot differ in their key features, development activity, technology stack and community adoption, so you can decide which of these low-code/no-code platforms is best for you.
Last 30 days
Last commit
6 hours agoRepository age
2 yearsVersion
v0.75.6License
Apache-2.0Repository
giselles-ai/giselle
Last 30 days
Last commit
4 hours agoRepository age
5 yearsVersion
v3.19.1Self-hosted
YesRepository
typebot.io
Typebot appears to have several advantages over Giselle, particularly in popularity, growth, maturity and features. Consider your specific needs regarding popularity, growth, activity, technology, maturity, licensing and features when making your decision.
Typebot significantly outpaces Giselle in community adoption with 10,577 stars compared to 559 stars on GitHub. This 18.9x difference suggests Typebot has a much larger and more active community. In terms of developer contributions, Typebot has 3,243 forks, indicating strong developer engagement.
Typebot is growing faster, adding 216 stars in the last 30 days (+2.1%) against adding 4 stars for Giselle (+0.7%). Typebot is both larger and pulling further ahead.
Both projects show recent activity, with Giselle last updated 6 hours ago and Typebot 4 hours ago.
Both tools share common technology foundations, being built with JavaScript, CSS, Bash, Typescript, JSX, Next.js. However, they differ in their additional technology choices: Typebot leverages PHP, Tanstack Start.
Typebot has been in development longer, starting 5 years ago, compared to Giselle which began 2 years ago. This 2.8-year head start suggests Typebot may have more mature features and established processes.
Giselle is licensed under Apache-2.0, while Typebot's license terms are not publicly specified.
Both tools serve similar use cases in Low-Code/No-Code. However, they also have distinct specializations: Giselle also focuses on AI Agent Platforms while Typebot extends into AI Chat Interfaces, Chatbot Platforms.
Typebot provides self-hosting options for complete data control and customization, while Giselle may be primarily cloud-based or require different deployment approaches.