8 Best frameworks for Chatbot Development in 2021

Chatbots are coming to the forefront of the industry as they become an increasingly popular and relevant way for businesses and organizations to communicate with their customers. With Chatbots, users will be able to communicate with a system that’s capable of detecting emotions, understanding questions, and performing various tasks like book reservations or ordering food. It’s clear that Chatbots are becoming one of the most exciting new technologies in business today and if you want to get ahead of your competition then it’s time to start learning how these systems work.

The following article will provide you with an overview of the framework that I believe will work best for Chatbot development in 2021.

Webhooks and APIs [ARTICLE END]

A chatbot requires a communications system, a set of communicative means, and a dialogue management system—in other words, the chatbot must make use of an existing communication channel (usually an internet or mobile network), along with appropriate means of data exchange. A specific example is a chatbot conversant in English that uses Google Speech Recognition to respond to requests from users. The communication channel is known as the ‘Webhook’. An ‘API’ is a platform. It provides the means of data exchange between 2 machines or software programs, for example between a chatbot and an e-commerce platform.

Let’s see which frameworks will be implemented in chatbot development in 2021.
Top Chatbot Frameworks In 2021
Chatbots are a very exciting new area of technology and the potential is huge. The best framework for developing Chatbots will depend on the type of application that you are building. It is impossible to cover all types of applications with one framework so this article will discuss only 3 types of application: Chatbots for Messenger, Chat Bots for Websites/Mobile Apps and Chat bots for Customer Service Applications (CSAs).

The leading chatbot frameworks:
Chatbots for messenger applications are often built with the following frameworks:
– DialogFlow/API.ai is the Google equivalent of Apple’s Siri Kit which allows you to build conversational systems without writing code. It also has a drag-and-drop builder, known as product studio, and allows for the integration of API’s and other services such as Google Maps. The advantage is that if you’re using it in conjunction with other Google services then it can save significant time. You can use this service to add voice and messaging capabilities to your apps easily, also allowing for speech to text capability for different languages.
– Wit.ai was developed by Facebook. The API is available to developers as Open Source, meaning that it is free to use and can also be integrated with other third party APIs and services.
– Amazon Alexa Skill Kit offers a set of tools and services that allow you to build skills for Alexa-enabled devices, ranging from the Echo speaker to Fire tablets, including the various Android mobile apps. The service supports both text and audio output from skills, along with handling requests using AWS Lambda backends.
– Windows Bot Framework allows developers to integrate with Microsoft Cognitive Services which includes LUIS (Language Understanding Intelligence Service), enabling developers to create bots who can understand natural human language.
– Twilio has a Chat API which allows developers to build chat bots with technology from the leader in communications infrastructure for web and mobile. The company offers powerful tools like Twilio Studio, Twiml, and Flex to build sophisticated chatbots that integrate with existing phone numbers.
– The Skype Bot Framework is a lightweight tool for building bots that integrate with Microsoft’s other products, including Skype, Office 365 and Cortana. These bots are available on multiple platforms such as Messenger, Slack, Skype or by way of SMS. The platform enables developers to build these bots using C# code without needing the complicated setup of servers and backend services typically required for building chatbots.
– Microsoft Bot Framework supports using .NET on the backend, which means you can code bots in C# or VB.NET. It also supports Node.js and allows for building bots using Web API and REST endpoints.
– IBM Watson Conversation is an API-based service that allows users to create, train and publish their own conversational chatbots on any channel, customer care platform or device channel they prefer.
The leading frameworks for Chat Bots for Websites/Mobile Apps will be:
– Keras (TensorFlow) is an open source library released by Google used to build deep learning models “in a Pythonic way”, with minimal coding required. Keras is generally considered a good choice to create chatbot applications, as it is the fastest and requires almost no coding at all.
– Microsoft Bot Framework offers a complete suite of tools designed for building, deploying and managing bots using C#.
– Rasa NLU (Natural Language Understanding) is an open source library that allows developers to build their own chatbots by using machine learning tools that can understand human language in natural sentences. It is currently available in Python, with work underway to add support for other languages such as JavaScript and PHP.

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