Amazon Lex vs Microsoft Bot Framework: What are the differences?
Developers describe Amazon Lex as "Build conversational voice and text interfaces, using the same deep learning technologies as Alexa". Lex provides the advanced deep learning functionalities of automatic speech recognition (ASR) for converting speech to text, and natural language understanding (NLU) to recognize the intent of the text, to enable you to build applications with highly engaging user experiences and lifelike conversational interactions. On the other hand, Microsoft Bot Framework is detailed as "Connect intelligent bots that interact via text/sms, Skype, Slack, Office 365 mail and other popular services". The Microsoft Bot Framework provides just what you need to build and connect intelligent bots that interact naturally wherever your users are talking, from text/sms to Skype, Slack, Office 365 mail and other popular services.
Amazon Lex and Microsoft Bot Framework can be primarily classified as "Chatbot Platforms &" tools.
Microsoft Bot Framework is an open source tool with 5.7K GitHub stars and 2.2K GitHub forks. Here's a link to Microsoft Bot Framework's open source repository on GitHub.
simplement-e, Hack League, and Universal Electronics Inc. are some of the popular companies that use Microsoft Bot Framework, whereas Amazon Lex is used by Innovative Virtual Computing Solutions, Shelf, and Lumeneo.com. Microsoft Bot Framework has a broader approval, being mentioned in 12 company stacks & 14 developers stacks; compared to Amazon Lex, which is listed in 3 company stacks and 3 developer stacks.