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chatbot development framework

10 Powerful AI Chatbot Development Frameworks

By Amit Modi / April 9, 2021

April 9, 2021
10 Powerful AI Chatbot Development Frameworks

Nowadays Chatbot usage has evolved over a while, and now, you can see them in use in all social media platforms like Telegram, Hangouts, Facebook, Slack, or your website.

Creating a compelling and powerful Customer Retention Management (CRM) needs a lot of effort and time. Chatbot supports you to scale up and balance your business cycle and further maintains the CRM routine like a professional.

Since AI powers and controls it all, it perceives and comprehends the language unmistakably and answers to the opposite person perfectly as if a live person is speaking to you and instantly assembles all the information and data you need from your existing customers.

Businesses get a large number of customers queries every day. It becomes challenging to manage all those queries effortlessly. So here is an alternative option. AI chatbot development frameworks can save your day! For several businesses, chatbots have now become essential for providing smooth customer service and effective global operations.

As per the recent research, it was expected that more than 85% of consumer interactions will be managed by chatbots by 2021. However, despite the multiple benefits of developing and using a chatbot for business, the number of development frameworks available can confuse and frustrate the beginner entrepreneur looking to design a conversational UX.

With consistent latest updates and releases, there are several AI chatbot development frameworks that are battling each other for the best place. Two factors help you determine if a chatbot is worth the investment or not: one is increased efficiency and the other is saving time.

Chatbot Development Frameworks
Image taken for Freepik

To help you pick the best one for your business requirements, we have listed the top 10 AI chatbot frameworks. Let’s jump in!

Also, read: Is Artificial Intelligence Development Expensive?

1) Microsoft Bot Framework

Microsoft Bot Framework

This Microsoft Bot Framework is a collection of powerful tools, services, and SDKs that provide a solid foundation for developers to create and connect smart bots. This framework is great for developing enterprise-grade conversational AI experiences.

Microsoft Bot Framework connectors enable you to deploy chatbots on apps, websites, Microsoft Teams, Cortana, Facebook Messenger, Skype, and more. It has two main components - BotBuilder SDKs and Channel connectors. Channel connectors empower you to connect the chatbot to other messaging channels. Bot Builder SDK account has several templates and code samples that help the developers to start the chatbot development instantly.

2) Dialogflow

Dialogflow

Dialogflow is a conversational platform that allows you to design and create chatbots and other voice apps. It is powered by Google’s machine learning and can be used to connect users on major messaging channels like Facebook, Mobile apps, Amazon Alexa, Google Assistant, Twitter, Messenger, and more.

Dialogflow is the most beneficial tool to generate omnichannel chatbots with minimum coding. It works on the Google Cloud Platform and can be scaled to serve hundreds of million users. Dialogflow is user-friendly and supports 20+ languages and is probably the best framework for developing NLP-based applications.

3) Wit.ai

Wit.ai is an open-source natural language processing API. It empowers developers to create devices and apps that users can speak to. You can simply generate text or voice-based bots that humans can talk about with their preferred messaging platform.

Wit is free for any commercial use. It is an NLP platform that empowers the developers to configure the intents and entities. Developers can utilize the HTTP API to connect the wit.ai to your chatbot or some other applications. This Wit.ai provides SDK in Python, Node.js, and Ruby.

4) Amazon Lex

Amazon Lex

Amazon Lex is a framework for creating conversational interfaces into any application by using text and voice. Amazon Lex is the same technology that powers Amazon Alexa. Amazon Lex scales automatically being a fully managed service, and you don’t need to bother about managing infrastructure.

Using this Amazon Lex, you can create, test, and deploy your chatbots immediately from the Amazon Lex console. Amazon Lex bots can be published to messaging platforms such as Slack, Facebook Messenger, Twilio SMS, and Kik. Amazon Lex provides SDKs for iOS and Android for creating bots for your mobile apps.

Also, read: Artificial Intelligence in Healthcare: The best way to beat the competition in 2021

5) BotMan

BotMan is another most successful chatbot development framework for PHP. There are various chatbot development tools for Python, Node Js, Java, C#. BotMan helps you publish your chatbot on the following channels - Hangouts Chat, Facebook Messenger, Cisco Spark, Microsoft Bot Framework, HipChat, Telegram, Slack, WeChat, and Twilio.

BotMan is the only PHP framework that helps developers to create a chatbot utilizing PHP. BotMan comes with a custom chat widget that you can utilize out of the box to add a BotMan powered chatbot to your website.

6) BotKit

Botkit is an open source chatbot framework acquired by Microsoft and is considered the best developer tool for creating chatbots, apps, and other custom integrations for important messaging platforms. It operates on a natural language processing engine from LUIS.ai and incorporates open-source libraries.

BotKit helps to publish the chatbots on messaging channels like Microsoft Teams, Slack, Cisco Jabber, Cisco Webex, Google Hangouts Chat, Facebook Messenger, Microsoft Bot Framework. Botkit further provides a web chat plugin that you can install on any website. BotKit can be simply employed with all the significant NLP platforms.

 7) Rasa Stack

Rasa Stack

Rasa Stack is an open-source conversational framework. It has two main components Rasa Core and Rasa NLU. It is the infrastructure layer for developers to create, improve and use better AI assistants. It is a Machine Learning Framework to automate voice-based assistants and text. This framework provides necessary tools and infrastructure for contextual, resilient, and high-performing assistants.

The main benefit of using Rasa Stack is that chatbot can be deployed on your server by keeping all the elements in-house. It is a framework for dialogue management, natural language understanding, and integrations. 

8) Pandorabots

Pandorabots

Pandorabots gives an online web service for creating and deploying chatbots. This Pandorabots employs the Artificial Intelligence Markup Language (AIML) for scripting the chatbot conversation. In addition to the premium libraries and modules such as the Mitsuku Module available for an added monthly charge, Pandorabots also provides free and open-source libraries like ALICE, Rosie, and Base Bot.

It has newly added an extra feature wherein you can conceive your AIML. The integration of this chatbot is possible on various applications, websites, and other messaging platforms, Cortana, and more.

9) IBM Watson Assistant

IBM Watson Assistant is established on a neural network of one billion Wikipedia words for creating conversational interfaces into any device, application, or channel. It supports 13 languages and provides SDK for the developers to create applications around Watson Assistant, it is quick in communicating with the bot users. You can utilize SDKs in Python, Java, iOS. It offers several free, standard, and premium plans. IBM Watson Assistant employs machine learning to respond to natural language input on platforms such as websites, mobile devices, messaging applications, and robots. 

10) Chatfuel

Chatfuel

Chatfuel is a modern chatbot builder platform for creating chatbots for Facebook Messenger. It is one of the most extensively employed open-source platforms for chatbots based on Facebook messenger, till now above 350,000 bots have been designed with Chatfuel.

One of the main advantages of using this platform is the uncomplicated editing toolsets that provide users the capability to create chatbots without any prior coding experience. Additional key features include built-in analytics, provision for multiple languages, and plugins for integration into Twitter, Facebook, Google, Dropbox, Live Chat, and more.

Conclusion

Ever since these Chatbots arrived they have immensely helped businesses in various parts such as lead generation, customer support, and marketing, etc. As these chatbots gain popularity and with the rise of new and more complex AI frameworks, there’s no uncertainty that chatbots will ultimately appear as a critical business tool - one that sets the foundation for higher efficiency and improved customer experiences. 

We have listed above the Chatbot frameworks that you can choose for your business. There is no ideal framework, and it depends on the requirement, so you need to explore all of them and understand what works best for your business. Or if you are a developer, you may be involved in learning Chatbot development. With that said, now if you are planning to create a chatbot for your business or enterprise, then it is essential to pick a chatbot development framework that satisfies all your business requirements. Choose and decide the one that works best for you and your business.

[sc name="AI"]

Nowadays Chatbot usage has evolved over a while, and now, you can see them in use in all social media platforms like Telegram, Hangouts, Facebook, Slack, or your website.

Creating a compelling and powerful Customer Retention Management (CRM) needs a lot of effort and time. Chatbot supports you to scale up and balance your business cycle and further maintains the CRM routine like a professional.

Since AI powers and controls it all, it perceives and comprehends the language unmistakably and answers to the opposite person perfectly as if a live person is speaking to you and instantly assembles all the information and data you need from your existing customers.

Businesses get a large number of customers queries every day. It becomes challenging to manage all those queries effortlessly. So here is an alternative option. AI chatbot development frameworks can save your day! For several businesses, chatbots have now become essential for providing smooth customer service and effective global operations.

As per the recent research, it was expected that more than 85% of consumer interactions will be managed by chatbots by 2021. However, despite the multiple benefits of developing and using a chatbot for business, the number of development frameworks available can confuse and frustrate the beginner entrepreneur looking to design a conversational UX.

With consistent latest updates and releases, there are several AI chatbot development frameworks that are battling each other for the best place. Two factors help you determine if a chatbot is worth the investment or not: one is increased efficiency and the other is saving time.

Chatbot Development Frameworks
Image taken for Freepik

To help you pick the best one for your business requirements, we have listed the top 10 AI chatbot frameworks. Let’s jump in!

Also, read: Is Artificial Intelligence Development Expensive?

1) Microsoft Bot Framework

Microsoft Bot Framework

This Microsoft Bot Framework is a collection of powerful tools, services, and SDKs that provide a solid foundation for developers to create and connect smart bots. This framework is great for developing enterprise-grade conversational AI experiences.

Microsoft Bot Framework connectors enable you to deploy chatbots on apps, websites, Microsoft Teams, Cortana, Facebook Messenger, Skype, and more. It has two main components – BotBuilder SDKs and Channel connectors. Channel connectors empower you to connect the chatbot to other messaging channels. Bot Builder SDK account has several templates and code samples that help the developers to start the chatbot development instantly.

2) Dialogflow

Dialogflow

Dialogflow is a conversational platform that allows you to design and create chatbots and other voice apps. It is powered by Google’s machine learning and can be used to connect users on major messaging channels like Facebook, Mobile apps, Amazon Alexa, Google Assistant, Twitter, Messenger, and more.

Dialogflow is the most beneficial tool to generate omnichannel chatbots with minimum coding. It works on the Google Cloud Platform and can be scaled to serve hundreds of million users. Dialogflow is user-friendly and supports 20+ languages and is probably the best framework for developing NLP-based applications.

3) Wit.ai

Wit.ai is an open-source natural language processing API. It empowers developers to create devices and apps that users can speak to. You can simply generate text or voice-based bots that humans can talk about with their preferred messaging platform.

Wit is free for any commercial use. It is an NLP platform that empowers the developers to configure the intents and entities. Developers can utilize the HTTP API to connect the wit.ai to your chatbot or some other applications. This Wit.ai provides SDK in Python, Node.js, and Ruby.

4) Amazon Lex

Amazon Lex

Amazon Lex is a framework for creating conversational interfaces into any application by using text and voice. Amazon Lex is the same technology that powers Amazon Alexa. Amazon Lex scales automatically being a fully managed service, and you don’t need to bother about managing infrastructure.

Using this Amazon Lex, you can create, test, and deploy your chatbots immediately from the Amazon Lex console. Amazon Lex bots can be published to messaging platforms such as Slack, Facebook Messenger, Twilio SMS, and Kik. Amazon Lex provides SDKs for iOS and Android for creating bots for your mobile apps.

Also, read: Artificial Intelligence in Healthcare: The best way to beat the competition in 2021

5) BotMan

BotMan is another most successful chatbot development framework for PHP. There are various chatbot development tools for Python, Node Js, Java, C#. BotMan helps you publish your chatbot on the following channels – Hangouts Chat, Facebook Messenger, Cisco Spark, Microsoft Bot Framework, HipChat, Telegram, Slack, WeChat, and Twilio.

BotMan is the only PHP framework that helps developers to create a chatbot utilizing PHP. BotMan comes with a custom chat widget that you can utilize out of the box to add a BotMan powered chatbot to your website.

6) BotKit

Botkit is an open source chatbot framework acquired by Microsoft and is considered the best developer tool for creating chatbots, apps, and other custom integrations for important messaging platforms. It operates on a natural language processing engine from LUIS.ai and incorporates open-source libraries.

BotKit helps to publish the chatbots on messaging channels like Microsoft Teams, Slack, Cisco Jabber, Cisco Webex, Google Hangouts Chat, Facebook Messenger, Microsoft Bot Framework. Botkit further provides a web chat plugin that you can install on any website. BotKit can be simply employed with all the significant NLP platforms.

 7) Rasa Stack

Rasa Stack

Rasa Stack is an open-source conversational framework. It has two main components Rasa Core and Rasa NLU. It is the infrastructure layer for developers to create, improve and use better AI assistants. It is a Machine Learning Framework to automate voice-based assistants and text. This framework provides necessary tools and infrastructure for contextual, resilient, and high-performing assistants.

The main benefit of using Rasa Stack is that chatbot can be deployed on your server by keeping all the elements in-house. It is a framework for dialogue management, natural language understanding, and integrations. 

8) Pandorabots

Pandorabots

Pandorabots gives an online web service for creating and deploying chatbots. This Pandorabots employs the Artificial Intelligence Markup Language (AIML) for scripting the chatbot conversation. In addition to the premium libraries and modules such as the Mitsuku Module available for an added monthly charge, Pandorabots also provides free and open-source libraries like ALICE, Rosie, and Base Bot.

It has newly added an extra feature wherein you can conceive your AIML. The integration of this chatbot is possible on various applications, websites, and other messaging platforms, Cortana, and more.

9) IBM Watson Assistant

IBM Watson Assistant is established on a neural network of one billion Wikipedia words for creating conversational interfaces into any device, application, or channel. It supports 13 languages and provides SDK for the developers to create applications around Watson Assistant, it is quick in communicating with the bot users. You can utilize SDKs in Python, Java, iOS. It offers several free, standard, and premium plans. IBM Watson Assistant employs machine learning to respond to natural language input on platforms such as websites, mobile devices, messaging applications, and robots. 

10) Chatfuel

Chatfuel

Chatfuel is a modern chatbot builder platform for creating chatbots for Facebook Messenger. It is one of the most extensively employed open-source platforms for chatbots based on Facebook messenger, till now above 350,000 bots have been designed with Chatfuel.

One of the main advantages of using this platform is the uncomplicated editing toolsets that provide users the capability to create chatbots without any prior coding experience. Additional key features include built-in analytics, provision for multiple languages, and plugins for integration into Twitter, Facebook, Google, Dropbox, Live Chat, and more.

Conclusion

Ever since these Chatbots arrived they have immensely helped businesses in various parts such as lead generation, customer support, and marketing, etc. As these chatbots gain popularity and with the rise of new and more complex AI frameworks, there’s no uncertainty that chatbots will ultimately appear as a critical business tool – one that sets the foundation for higher efficiency and improved customer experiences. 

We have listed above the Chatbot frameworks that you can choose for your business. There is no ideal framework, and it depends on the requirement, so you need to explore all of them and understand what works best for your business. Or if you are a developer, you may be involved in learning Chatbot development. With that said, now if you are planning to create a chatbot for your business or enterprise, then it is essential to pick a chatbot development framework that satisfies all your business requirements. Choose and decide the one that works best for you and your business.

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