In today’s digital age, you must accept digital technology as the standard; you cannot avoid or avoid having a virtual assistant! Over time, chatbot adoption is growing, and you can now find them on practically every social media platform, including Facebook, Telegram, Hangouts, Slack, and your website. The corporate environment is shifting as more and more chatbots with AI and machine learning skills appear. Let’s explore the top seven frameworks for chatbot development that will be popular in 2023.
Top 7 Frameworks for Chatbot Development in 2023
Botpress:
Botpress is a conversational AI program that is entirely open-source and supports several Natural Language Understanding (NLU) libraries. Botpress offers an emulator and visual conversation builder to test your talks. Botpress enables experts with various skill sets to collaborate and create improved conversational assistants.
Government agencies, insurance providers, and businesses that provide financial services are the primary users of the framework. This is because of the framework’s ability to provide on-site chatbots, which enhance security compared to cloud-based chatbots.
Pros:
- It is very adaptable.
- With the most well-known chat platforms, such as Facebook Messenger, Slack, Microsoft Teams, and Telegram, Botpress actively maintains connections.
- The framework’s documentation is simple to read and apply.
Cons:
- Compared to other frameworks, the framework contains less functionality.
- The framework has a high learning curve.
Microsoft Bot Framework
The Microsoft strategy is mostly code-driven and targeted solely at developers. Microsoft Bot Framework (MBF) provides a framework for creating open-source bots. You can hire React developer from Bacancy having exceptional expertise in MBF and granular control over the chatbot construction process offering immediate access to a wide range of features and connections.
Pros:
- Framework offers several SDKs for different programming languages.
- The MBF provides an excellent array of tools to help with chatbot development.
- It offers a smooth connection with other current Microsoft services.
Cons:
- The structure is intricate. A developer must write excessive code to use the framework to implement a simple function.
- A developer must select between Node.js or C# as their development platform. The two platforms have various functions; thus, selecting one should depend on the client’s demands and the developer’s familiarity with both.
Rasa
Rasa is an open-source framework for creating bots that focuses on creating chatbots using a narrative approach. Industrial-grade contextual assistants and chatbots are created using Rasa. Rasa is a well-known framework and a pioneer in open-source natural language understanding engines. They work on artificial intelligence and creating a platform that enables designers to create and enhance their AI helpers over time.
Pros:
- This is one of the Frameworks for Chatbot Development in React JS that is incredibly configurable. The React developer can handle user conversations using a variety of pipelines.
- Rasa offers many premium features that are only available with an enterprise license.
- Rasa has an on-premises NLU engine that is entirely open source.
- The chatbots can function as straightforward HTTPS servers.
Cons:
- Chatbot development with frameworks is resource-intensive on the server.
- It does not come with built-in direct interfaces with chat systems.
Wit.ai
Wit.ai is an open-source chatbot with robust natural language processing (NLP). Since Wit.ai is open-source, you can look through the current bots and applications it created to acquire ideas for your creation. Facebook owns Wit.ai, a popular platform for NLP-based Facebook Messenger bots. Wit.ai’s open-source chatbot API is well-documented and makes it simple for developers to get started with the platform.
Pros:
- With many different platforms, including Facebook Messenger, Slack, wearable technologies, home automation, and others, Wit.ai communicates rapidly.
- Wit.ai benefits from a sizable development community as an open-source framework (and open application). Developers have access to other people’s work and can use it as an example.
- Wit.ai offers a visually flexible discussion flow tree and a well-designed developer user interface.
Cons:
BotMan
It is the most widely used PHP chatbot that is open source. It connects with several messaging platforms and makes it simpler to create chatbots for them. Innovating bots for various messaging systems, such as Slack, Telegram, Microsoft Bot Framework, Nexmo, HipChat, Facebook Messenger, and WeChat, gets done more easily with the help of BotMan, which was created for developers. BotMan is a PHP program that works on Linux, Windows, and macOS and has extensive documentation. The MIT License governs the use of BotMan and is one of the most scalable Frameworks for Chatbot Development.
Pros:
- Chatbot development with frameworks is the most popular.
- Because BotMan is framework independent, you can utilize it with any framework in your current codebase.
- You can utilize a tool independent of the framework you use in an existing codebase.
Cons:
- The chatbot needs to be faster to answer or respond at all.
- Issue with bugs
Botkit
The platform focuses on coding and has several integrations and a visual discussion builder. Microsoft purchased Botkit, an open-source conversational AI, in 2018. The Microsoft Bot Framework comprises several developer tools and SDKs, of which Botkit is just one. It is renowned for being a developer-friendly platform that is code-centric. It provides plugins for several chat services, such as Webex, Slack, Facebook Messenger, and Google Hangout. Recently, Botkit developed a visual dialogue builder to aid in creating chatbots, allowing people who need technical expertise to participate.
Pros:
- The use of the platform is free.
- It supports a variety of programming languages.
- Users that lack coding skills can participate in the development of chatbots thanks to the user-friendly interface.
- Complies with all leading platforms
Cons:
- Uses the LUIS service from Microsoft because it lacks built-in NLP
OpenDialog
You can modify the functionality of OpenDialog to fit the size of your team. It enables you to deploy, integrate, and teach chatbots effectively. Using OpenDialog, you can deploy, integrate, and teach efficiently. Your conversational AI approach can be controlled and made future-proof. A no-code conversation designer is another feature of OpenDialog that enables users to build and experiment with talks easily. PHP-based OpenDialog is a no-code platform on Linux, Windows, and macOS. The Apache License, Version 2.0, governs OpenDialog.
Pros:
- You can quickly develop and prototype discussions using the platform.
- You may quickly create your conversational application with this software without coding knowledge.
- Chatbot development with frameworks takes a small amount of memory yet can nevertheless carry out real-time STT procedures.
Cons:
- There is no free version or trial.
Conclusion:
For some people, starting from scratch can work best. Using open-source chatbot frameworks for chatbot development is a far superior choice. It is feasible to create your chatbots if your company has the proper personnel.
You can test out open-source tools before making a final choice, which is one of their most significant benefits. Before choosing the chatbot software you want to spend time and money on, you must decide how to use it and what functions are necessary.
Author Bio:
Chandresh Patel is a CEO, Agile coach, and founder of Bacancy Technology. His truly entrepreneurial spirit, skillful expertise, and extensive knowledge in Agile software development services have helped the organization to achieve new heights of success. Chandresh is fronting the organization into global markets in a systematic, innovative, and collaborative way to fulfill custom software development needs and provide optimum quality