Botkit vs Wit.ai

Overview

Botkit

Stacks75

Followers149

Votes3

GitHub Stars11.6K

Forks2.3K

Wit.ai

Stacks33

Followers97

Votes7

Botkit vs Wit.ai: What are the differences?

Botkit and Wit.ai are two popular tools used in the development of chatbots. Below are key differences between Botkit and Wit.ai:

Platform Type: Botkit is a chatbot development framework that provides tools and plugins to build, deploy, and manage chatbots across various platforms like Facebook Messenger, Slack, and Microsoft Teams. On the other hand, Wit.ai is a natural language processing (NLP) platform that offers APIs and tools for creating language understanding models for chatbots and other applications.
Customization Level: Botkit allows a high level of customization, enabling developers to create complex conversational flows and integrate with various APIs and services easily. In contrast, Wit.ai focuses on simplifying the process of training NLP models by providing pre-built models and a user-friendly interface, making it more suitable for those less experienced with machine learning.
Intent Recognition: When it comes to intent recognition, Botkit relies on developers to implement their own logic and algorithms for understanding user intents and processing messages. Wit.ai, on the other hand, leverages its powerful NLP capabilities to automatically classify user intents, reducing the manual effort required for intent recognition.
Training Data: Botkit requires developers to provide training data and manually label messages to train the chatbot to respond appropriately. Wit.ai, however, uses machine learning algorithms to continuously learn from user interactions, improving its language understanding over time without the need for extensive manual labeling.
Integration with Messenger Platforms: Botkit seamlessly integrates with popular messaging platforms like Facebook Messenger and Slack, making it easy to deploy chatbots on these platforms. Wit.ai can also be integrated with messenger platforms but is primarily focused on language understanding and does not provide as many out-of-the-box features for direct platform integration.
Community Support: Both Botkit and Wit.ai have vibrant communities of developers providing support, resources, and plugins. However, Botkit's community is more extensive due to its open-source nature and active contributors, offering a wide range of plugins and resources for developers to leverage in their chatbot projects.

In Summary, Botkit and Wit.ai differ in platform type, customization level, intent recognition, training data, integration with messenger platforms, and community support, making them suitable for different chatbot development needs.

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Advice on Botkit, Wit.ai

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	Wit.ai
It is an open source developer tool for building chat bots, apps and custom integrations for major messaging platforms.	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.
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	Wit.ai makes it easy for developers to build applications and devices that you can talk or text to;Wit.ai learns human language from every interaction;Leverages the community: what's learned is shared across developers;Bots;Mobile Apps;Home automation;Wearable devices;Robots
Statistics
GitHub Stars 11.6K	GitHub Stars -
GitHub Forks 2.3K	GitHub Forks -
Stacks 75	Stacks 33
Followers 149	Followers 97
Votes 3	Votes 7
Pros & Cons
Pros 3 Relatively easy to understand and help/active community	Pros 4 The interface to train is really easy 3 It´s free
Integrations
Slack Messenger Platform	Echo Messenger Platform Facebook Workplace

What are some alternatives to Botkit, Wit.ai?

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

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

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 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

Microsoft Bot Framework

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.

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

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

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

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

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.

Related Comparisons

Botkit vs Wit.ai: What are the differences?

Botkit and Wit.ai are two popular tools used in the development of chatbots. Below are key differences between Botkit and Wit.ai:

Platform Type: Botkit is a chatbot development framework that provides tools and plugins to build, deploy, and manage chatbots across various platforms like Facebook Messenger, Slack, and Microsoft Teams. On the other hand, Wit.ai is a natural language processing (NLP) platform that offers APIs and tools for creating language understanding models for chatbots and other applications.
Customization Level: Botkit allows a high level of customization, enabling developers to create complex conversational flows and integrate with various APIs and services easily. In contrast, Wit.ai focuses on simplifying the process of training NLP models by providing pre-built models and a user-friendly interface, making it more suitable for those less experienced with machine learning.
Intent Recognition: When it comes to intent recognition, Botkit relies on developers to implement their own logic and algorithms for understanding user intents and processing messages. Wit.ai, on the other hand, leverages its powerful NLP capabilities to automatically classify user intents, reducing the manual effort required for intent recognition.
Training Data: Botkit requires developers to provide training data and manually label messages to train the chatbot to respond appropriately. Wit.ai, however, uses machine learning algorithms to continuously learn from user interactions, improving its language understanding over time without the need for extensive manual labeling.
Integration with Messenger Platforms: Botkit seamlessly integrates with popular messaging platforms like Facebook Messenger and Slack, making it easy to deploy chatbots on these platforms. Wit.ai can also be integrated with messenger platforms but is primarily focused on language understanding and does not provide as many out-of-the-box features for direct platform integration.
Community Support: Both Botkit and Wit.ai have vibrant communities of developers providing support, resources, and plugins. However, Botkit's community is more extensive due to its open-source nature and active contributors, offering a wide range of plugins and resources for developers to leverage in their chatbot projects.

Botkit vs Wit.ai

Overview