Learn how Langflow and Tiledesk differ in their key features, development activity, technology stack and community adoption, so you can decide which of these ai agent platforms is best for you.
Last 30 days
Last commit
12 hours agoRepository age
4 yearsVersion
v1.13.0License
MITSelf-hosted
YesRepository
langflow-ai/langflow
Last 30 days
Last commit
3 days agoRepository age
9 yearsVersion
2.7.178License
MITSelf-hosted
YesRepository
tiledesk-dashboard
Both Langflow and Tiledesk 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.
Langflow significantly outpaces Tiledesk in community adoption with 156,027 stars compared to 15 stars on GitHub. This 10401.8x difference suggests Langflow has a much larger and more active community. In terms of developer contributions, Langflow has 10,248 forks, indicating strong developer engagement.
Both projects show recent activity, with Langflow last updated 12 hours ago and Tiledesk 3 days ago.
Both tools share common technology foundations, being built with JavaScript, CSS, Bash, Typescript. However, they differ in their additional technology choices: Langflow uses JSX, Python while Tiledesk leverages SCSS.
Tiledesk has been in development longer, starting 9 years ago, compared to Langflow which began 4 years ago. This 5.1-year head start suggests Tiledesk may have more mature features and established processes.
Both projects use the MIT license, providing identical terms for usage and distribution.
Both tools serve similar use cases in AI Agent Platforms. However, they also have distinct specializations: Langflow also focuses on Low-Code/No-Code, LLM Application Frameworks while Tiledesk extends into Customer Communication Platforms, Chatbot Platforms, Live Chat & Messaging.
Both Langflow and Tiledesk offer self-hosting capabilities, giving you full control over your data and infrastructure.