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Amazon Lex vs Microsoft Bot Framework

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Amazon Lex
93
288
+ 1
16
Microsoft Bot Framework
172
400
+ 1
21
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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.

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Pros of Amazon Lex
Pros of Microsoft Bot Framework
  • 7
    Easy console
  • 5
    Built in chat to test your model
  • 2
    Great voice
  • 2
    Easy integration
  • 18
    Well documented, easy to use
  • 3
    Sending Proactive messages for the Different channels
  • 0
    Teams

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Cons of Amazon Lex
Cons of Microsoft Bot Framework
  • 5
    English only
  • 2
    LUIS feature adds multilingual capabilities

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What is Amazon Lex?

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.

What is Microsoft Bot Framework?

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.

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What companies use Amazon Lex?
What companies use Microsoft Bot Framework?
See which teams inside your own company are using Amazon Lex or Microsoft Bot Framework.
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What tools integrate with Amazon Lex?
What tools integrate with Microsoft Bot Framework?

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What are some alternatives to Amazon Lex and Microsoft Bot Framework?
IBM Watson
It combines artificial intelligence (AI) and sophisticated analytical software for optimal performance as a "question answering" machine.
Alexa
It is a cloud-based voice service and the brain behind tens of millions of devices including the Echo family of devices, FireTV, Fire Tablet, and third-party devices. You can build voice experiences, or skills, that make everyday tasks faster, easier, and more delightful for customers.
Dialogflow
Give users new ways to interact with your product by building engaging voice and text-based conversational apps.
Amazon Polly
Amazon Polly is a service that turns text into lifelike speech. Polly lets you create applications that talk, enabling you to build entirely new categories of speech-enabled products. Polly is an Amazon AI service that uses advanced deep learning technologies to synthesize speech that sounds like a human voice.
Amazon Comprehend
Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to discover insights from text. Amazon Comprehend provides Keyphrase Extraction, Sentiment Analysis, Entity Recognition, Topic Modeling, and Language Detection APIs so you can easily integrate natural language processing into your applications.
See all alternatives

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