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  1. Stackups
  2. AI
  3. Chatbots & Assistants
  4. Chatbot Platforms And Tools
  5. Botkit vs Microsoft Bot Framework

Botkit vs Microsoft Bot Framework

OverviewDecisionsComparisonAlternatives

Overview

Botkit
Botkit
Stacks75
Followers149
Votes3
GitHub Stars11.6K
Forks2.3K
Microsoft Bot Framework
Microsoft Bot Framework
Stacks177
Followers412
Votes21

Botkit vs Microsoft Bot Framework: What are the differences?

Introduction

In this article, we will explore the key differences between Botkit and Microsoft Bot Framework. Both Botkit and Microsoft Bot Framework are popular frameworks used for building chatbots and conversational agents. However, they have some distinct features and capabilities that differentiate them from each other.

  1. Integration with Multiple Messaging Platforms: One of the key differences between Botkit and Microsoft Bot Framework is their integration with multiple messaging platforms. Botkit provides built-in support for various messaging platforms like Facebook Messenger, Slack, and Twilio, allowing developers to easily deploy their chatbots across different channels. On the other hand, Microsoft Bot Framework offers support for a wide range of messaging platforms including Facebook Messenger, Slack, Skype, and Microsoft Teams, providing developers with more flexibility in choosing the platforms for their chatbots.

  2. Natural Language Processing Capabilities: Another important difference between Botkit and Microsoft Bot Framework lies in their natural language processing (NLP) capabilities. Botkit does not have its own NLP engine but allows integration with external NLP services like Wit.ai and Dialogflow for advanced language processing tasks. In contrast, Microsoft Bot Framework includes the powerful Microsoft Language Understanding (LUIS) service, which offers robust NLP features for understanding user intents, entities, and more. This built-in NLP capability in Microsoft Bot Framework eliminates the need for integrating external services, streamlining the development process.

  3. Development Language: Botkit primarily uses JavaScript and Node.js for developing chatbots, making it an excellent choice for JavaScript developers. On the other hand, Microsoft Bot Framework supports multiple programming languages including C#, Node.js, and Python, providing developers with more language choices. This flexibility in programming languages offered by Microsoft Bot Framework allows developers to leverage their existing expertise or choose the language that best suits their project requirements.

  4. Bot Building Tools and SDKs: Another difference between Botkit and Microsoft Bot Framework lies in their bot building tools and software development kits (SDKs). Botkit provides a comprehensive set of tools and a robust SDK for building chatbots, making it easier for developers to get started quickly. Microsoft Bot Framework offers a similar set of development tools and SDKs, but its ecosystem is more extensive with additional tools like the Bot Framework Composer, which provides a visual interface for building and designing chatbots without writing any code. This visual tooling in Microsoft Bot Framework enables both developers and non-developers to create sophisticated chatbots with ease.

  5. Community and Support: Both Botkit and Microsoft Bot Framework have active communities and provide support for developers. However, Microsoft Bot Framework benefits from being part of the larger Microsoft ecosystem, which includes extensive documentation, tutorials, and a vibrant developer community. This wide-reaching community and support system offered by Microsoft Bot Framework provide developers with access to a wealth of resources and expertise, making it easier to troubleshoot issues, find solutions, and share knowledge.

  6. Deployment Options: Lastly, the deployment options available for Botkit and Microsoft Bot Framework differ slightly. Botkit allows developers to deploy their chatbots on various hosting platforms and can be easily integrated into existing infrastructure. Microsoft Bot Framework, on the other hand, offers Microsoft Azure as a cloud hosting platform, providing developers with a seamless deployment experience within the Microsoft ecosystem. Azure offers additional features like scalability, auto-scaling, and integrated analytics, making it an attractive choice for deploying chatbots with Microsoft Bot Framework.

In summary, the key differences between Botkit and Microsoft Bot Framework lie in their integration with multiple messaging platforms, natural language processing capabilities, development language options, bot building tools and SDKs, community and support, and deployment options. These distinctions allow developers to choose the framework that aligns best with their project requirements and development preferences.

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Advice on Botkit, Microsoft Bot Framework

Stefan
Stefan

Jul 17, 2020

Needs advice

Hi, does anyone have recommendations for a chatbot framework? I am currently using Botpress, and I am not happy with it. The upside is: They pretty much have everything you can ask for in a bot solution, but the issue is: They did nothing right, the documentation is terrible, and you have this feeling of it falling apart at any time, which is what actually happened once.

My ideal solution would have:

  • Support for Messenger and web (should either have a website chat plugin or straightforward integration with a different one)
  • A visual builder (for none tech team members) | This is not a hard requirement though
  • A slick DX for building simple things like API calls or more advanced stuff.
  • We currently only have a "click bot," so no crazy NLP features required, but in the future a requirement

What I do not want:

  • I do not want a solution where "someone else" builds the bot for me
59.9k views59.9k
Comments

Detailed Comparison

Botkit
Botkit
Microsoft Bot Framework
Microsoft Bot Framework

It is an open source developer tool for building chat bots, apps and custom integrations for major messaging platforms.

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.

Battle tested code, in use by 10,000's of bots right now; Visual conversation builder; Integrated NLP from LUIS.ai; Powerful Open Source libraries; Dozens of plugins
AI and natural language; Open & Extensible; Enterprise-grade solutions; Ownership and control;
Statistics
GitHub Stars
11.6K
GitHub Stars
-
GitHub Forks
2.3K
GitHub Forks
-
Stacks
75
Stacks
177
Followers
149
Followers
412
Votes
3
Votes
21
Pros & Cons
Pros
  • 3
    Relatively easy to understand and help/active community
Pros
  • 18
    Well documented, easy to use
  • 3
    Sending Proactive messages for the Different channels
  • 0
    Teams
Cons
  • 2
    LUIS feature adds multilingual capabilities
Integrations
Slack
Slack
Messenger Platform
Messenger Platform
Slack
Slack
Skype
Skype
Telegram API
Telegram API

What are some alternatives to Botkit, Microsoft Bot Framework?

Engati

Engati

It is a free chatbot platform to build bots quickly without any coding required. It allows you to build, manage, integrate, train, analyse and publish your personalized bot in a matter of minutes.

Dialogflow

Dialogflow

Give users new ways to interact with your product by building engaging voice and text-based conversational apps.

Telegram Bot API

Telegram Bot API

Bots are third-party applications that run inside Telegram. Users can interact with bots by sending them messages, commands and inline requests. You control your bots using HTTPS requests to our bot API.

Botpress

Botpress

Botpress is an open-source bot creation tool written in TypeScript. It is powered by a rich set of open-source modules built by the community. We like to say that Botpress is like the WordPress of bots; anyone can create and reuse other peo

Amazon Lex

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.

Chatfuel

Chatfuel

Send news, collect feedback, receive and answer questions and share content libraries — from GIFs to full business docs.

Flow XO

Flow XO

Everything you need to create and manage bots. Build powerful bots without code, bots work seamlessly across platforms, and we host, manage & scale your bots.

IBM Watson

IBM Watson

It combines artificial intelligence (AI) and sophisticated analytical software for optimal performance as a "question answering" machine.

Wit.ai

Wit.ai

Iti is an API that makes it very easy for developers to create applications or devices that you can talk to. Any app, or any device, like a smart watch, Google Glass, Nest, even a car, can stream audio to the Wit API, and get actionable data in return. We turn speech into actions. Think Twilio for Natural Language, with Stripe-level developer friendliness.

Azure Bot Service

Azure Bot Service

The Azure Bot Service provides an integrated environment that is purpose-built for bot development, enabling you to build, connect, test, deploy, and manage bots, all from one place.

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