Learn how Parlant and Typebot differ in their key features, development activity, technology stack and community adoption, so you can decide which of these ai chat interfaces is best for you.
Last 30 days
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Last 30 days
Last commit
Repository age
Version
Self-hosted
Repository

Typebot appears to have several advantages over Parlant, particularly in growth, activity, maturity and features. Consider your specific needs regarding popularity, growth, activity, technology, maturity, licensing and features when making your decision.
Parlant leads in popularity with 18,253 stars vs 10,269 stars for Typebot. The 78% higher star count indicates stronger community adoption. In terms of developer contributions, Typebot has 3,193 forks, indicating strong developer engagement.
Typebot is growing faster, adding 97 stars in the last 30 days (+1%) against adding 72 stars for Parlant (+0.4%). Typebot is the smaller project of the two, so it is closing the gap rather than extending a lead.
Typebot shows more recent development activity with its last commit 11 hours ago, while Parlant was last updated 1 month ago. This suggests Typebot is being more actively maintained.
Both tools share common technology foundations, being built with JavaScript, CSS, Bash, Typescript, JSX. However, they differ in their additional technology choices: Parlant uses Python, SCSS while Typebot leverages Next.js, PHP, Tanstack Start.
Typebot has been in development longer, starting 5 years ago, compared to Parlant which began 3 years ago. This 2.3-year head start suggests Typebot may have more mature features and established processes.
Parlant is licensed under Apache-2.0, while Typebot's license terms are not publicly specified.
Both tools serve similar use cases in AI Chat Interfaces, Chatbot Platforms. However, they also have distinct specializations: Parlant also focuses on AI Agent Platforms while Typebot extends into Low-Code/No-Code.
Typebot provides self-hosting options for complete data control and customization, while Parlant may be primarily cloud-based or require different deployment approaches.