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7 Top Chatbot Development Frameworks for 2020

Jun 18, 2020
7 Top Chatbot Development Frameworks for 2020

The world is obsessed with new tech buzzword Chatbots. Aren't you? Definitely Yes and why not when 95% of customers love it as their customer care agent. And due to its constant rising demand in the business world, it’s vital to keep an eye on its framework too, as then only we can leverage its potential business benefits.

I am damn sure; there might be a confusion in your mind regarding this context. You might be wondering that, what are the best chatbot frameworks for 2020? For such queries and information, you can browse this page and get your confusion sorted.

This writeup shed light on the top chatbot development frameworks for 2020. I have mentioned the names of those frameworks which are popular and utilized more in the market today. So, let's get started.

The technology chatbot is buzzing worldwide in the market. The time when the web development stats shows that 64% of total web visitors want to see the company's contact information and the chatbot can be extremely beneficial here. Don’t you think so? I think Yes.

Because, if we look at the stats, then it has some astounding business benefits. And most importantly, our experts have claimed these results in 2018. That’s the reason being BusinessInsider estimates that 80% of businesses will adopt chatbots in 2020.

Now let’s move ahead to the names of 7 Top Chatbot Development Frameworks for 2020. Here we go…

1. Microsoft Bot Framework

Being an open-source tool, Microsoft Bot Framework offers a series of templates to begin your bot-building journey. These templates vary from an underlying data collection service (FormBot) to the higher advanced Language Understanding bot. It leverages Microsoft’s LUIS NLU package to provide intelligent conversational experiences.

Many said, Microsoft Bot Framework is undoubtedly not for the casual bot building, since it needs programming experience for effective deployment.

The framework supports automatic language translations(only a few languages), SDKs for Node.js &.NET, and REST APIs to integrate it with the popular CRM and messaging platforms.

The unique part for  Microsoft Bot Framework is the availability of both the standard web and serverless bots, with the latter operating over Azure Functions.

Additionally, its popular Cortana API  leverages you to provide your chatbot voice capabilities.


  • Prebuilt entities
  • Machine learning speech to text
  • SDKs for multiple computer languages
  • Technical computer support
  • Multilingual

2. Dialogflow

Dialogflow is a natural language understanding platform and lets you design & develops chatbots and voice apps, for example, Google Actions and Amazon Alexa Skills. It's a conversational AI and backed by Google.

Developers use it to build actions for 400M+ Google Assistant devices. It supports all the main messaging channels such as Facebook, Skype, Messenger, Telegram, Kik, Slack, Twitter, Line, Viber and more.

The framework supports Natural Language Processing in 20+ languages. It is probably the best tools to create omnichannel chatbots with less coding.

Additionally, it provides the REST API that you can use to integrate chatbot to your app or with custom conversational interfaces.


  • It supports voice-based and text-based assistants both.
  • Easy to learn
  • Best quality & productive conversations using natural language.
  • Provide SDKs for more than 14 platforms.
  • Google Dialogflow supports 20+ languages from around the world.
  • Perform various tasks such as jokes, event search and payment handling.
  • An in-line editor makes coding speedier.
  • It aids you to do sentiment analysis for every query.
  • Allows IoT integration.


Facebook released in 2015. It's an open-source chatbot development framework and can process a dizzying array of languages ranging from Albanian and Lithuanian to Tamil and Vietnamese.

The advanced features of this framework make its a helpful tool for building bots specific to small devices, wearables and home automation, where a hands-free experience is deemed desirable.

Additionally, it allows developers to upload their data to let it act as a conversational interaction's foundation within any given use case. Though, such data is shared with the complete ecosystem, in a bid to increase the system's NLP capabilities exponentially.

Well, it's quick integration into Facebook Messenger and expertise to create chatbots that can speak nearly all human languages.  And its open-source nature restricts use cases that contain sensitive information.


  • Easy deployment on Facebook Messenger.
  • It has a large developer community.
  • The natural language processing engine in’s AI chatbot framework makes it best and can hold its own against more important bot-building tools.
  • It provides SDKs in iOS, Node.js, Python, Ruby.
  • Supports 80+ languages of the world and makes translation easy for the developers.


Rasa, an open-source framework and has two major components named Rasa NLU and Rasa Core. Rasa NLU understands the natural language while aids in the creation of intelligent, conversational chatbots.

It is Python-based, and the NLP technology stack helps developers create highly intelligent chatbots with probabilistic modelling instead of the common flowchart-based approach.

The framework is actually leading in the open-source machine learning toolkits and helping the developers to build better AI chatbots with minimal training data.

RASA deploys machine learning models for recognizing the entities and intents plus determining the conversation flow.


  • Deployed on your server with all the components in-house.
  • Highly customizable and allows developers to build a chatbot with desired features.
  • It allows multiple environments for development, production and staging.
  • Offers analytics for various data that provides the customer with a better understanding.

5. IBM Watson

IBM Watson is one of the famous and prolific chatbot development frameworks that we can't ignore in 2020. It was built on a neural network of 1 billion words of Wikipedia.

The framework has a pre-integrated and pre-trained architecture and helps the businesses to deploy IBM Watson and develop custom chatbots. Like Wit.Ai, IBM Watson utilizes different machine learning algorithms to respond and support popular platforms like robots,  websites and messaging platforms.

If you want to develop a chatbot for your business to answer customers' queries, then you should go with IBM Watson framework for chatbot development.


  • It is loaded with a highly advanced and capable machine learning engine.
  • It enables automated predictive analysis.
  • There is a Watson Assistant GUI for technical non-technical business users specially.
  • It doesn't collect the data that you use for creating the bot and allows you to store it on a private cloud, thus assuring maximum security and confidentiality.
  • It also has visual recognition security.
  • Supports more than ten languages of the world and contains in-built language translators.
  • Contains tone analyzer that helps you understand plus distinguish negative and positive customer or user responses.

6. Amazon Lex

Amazon Lex is a great AI chatbot that beginners can quickly get started with. It's a versatile chatbot framework with sophisticated bot-building tools. As clear from the name too, it's a part of Amazon Web Services and one of the robust frameworks with the multifaceted options.

It has built-in machine learning and natural language understanding abilities with AWS. Additionally, it's highly scalable, and AWS helps make this framework better than others.


  • Allows automated speech recognition & easily converts speech into text.
  • AWS integrated and highly scalable.
  • Offers SDKs for many different platforms.
  • Free to use

7. Botkit

Botkit, an open-source developer tool aids you in building applications, chatbots and custom integrations for many important messaging platforms. And it's a part of Microsoft Bot Framework.

It contains the core Botkit library, series of plugins and extensions for connecting Botkit to the chat and messaging platforms plus other tools in the bot building ecosystem.


  • Visual conversation builder
  • Built-in stats & metrics
  • Easy integration with Facebook, Telegram, Microsoft, IBM Watson, Slack and more.

Wrapping Up!

Above I have mentioned the names of top frameworks that you can look for in 2020. Did you find any of these feasible for your upcoming project or business? If yes or have doubts, then let us know in the comment section.

Presently, there are many top chatbot development companies in India. They will help you out well and transform your business operations. So, go ahead with these frameworks in 2020 for your esteemed business.

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