botonic and RasaTalk
React-based conversational UI framework and a Rasa NLU management tool are complements—one provides the frontend interface for building chatbot experiences while the other manages the NLU backend, and they could be used together in an end-to-end chatbot stack.
About botonic
hubtype/botonic
Build chatbots and conversational experiences using React
This project helps software developers create chatbots and conversational applications efficiently. You provide the conversational logic using React, and it generates an app that can be deployed across various messaging platforms like WhatsApp, Facebook Messenger, Telegram, or integrated into websites and mobile apps. It's designed for developers building interactive communication tools.
About RasaTalk
jackdh/RasaTalk
A chatbot framework for Rasa NLU
This tool helps you build and manage conversational AI agents (chatbots) without needing to be a coding expert. You define what users might say (expressions), what they mean (intents), and how the chatbot should respond in different scenarios (dialogs). It's designed for chatbot developers or product managers who want an on-premise, visual interface to create sophisticated conversation flows and integrate with platforms like Facebook or Telegram.
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