What is BotStar Chatbot Engine and what are its top alternatives?
Top Alternatives to BotStar Chatbot Engine
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. ...
Give users new ways to interact with your product by building engaging voice and text-based conversational apps. ...
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. ...
It combines artificial intelligence (AI) and sophisticated analytical software for optimal performance as a "question answering" machine. ...
With bots and live-messaging tools, you can create a custom experience for your unique audience. ...
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. ...
API.AI is a natural language understanding platform that makes it easy for developers to design and integrate intelligent, robust conversational user interfaces into mobile, web applications, and devices. ...
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 ...
BotStar Chatbot Engine alternatives & related posts
- Integrating with other services9
- Getting customized notifications and news7
- Creating custom tools like GitHub bot5
- Easy setup4
- Creating private/public bots4
- Great documentation which is easily understandable4
- Easily manageable1
related Telegram Bot API posts
- Built-in conversational agents13
- Custom Webhooks6
- Great interface4
- OOTB integrations3
- Knowledge base2
- Quick display1
- Multi Lingual1
- Multi lingual8
- Can’t be self-hosted2
related Dialogflow posts
- Well documented, easy to use17
- Sending Proactive messages for the Different channels3
- LUIS feature adds multilingual capabilities1
related Microsoft Bot Framework posts
- Prebuilt front-end GUI1
- Intent auto-generation1
- Custom webhooks1
related IBM Watson posts
- Clean and Simple Communication1
related Messenger Platform posts
- Easy console7
- Built in chat to test your model4
- Easy integration2
- Great voice2
- English only5
related Amazon Lex posts
For our Compute services, we decided to use AWS Lambda as it is perfect for quick executions (perfect for a bot), is serverless, and is required by Amazon Lex, which we will use as the framework for our bot. We chose Amazon Lex as it integrates well with other #AWS services and uses the same technology as Alexa. This will give customers the ability to purchase licenses through their Alexa device. We chose Amazon DynamoDB to store customer information as it is a noSQL database, has high performance, and highly available. If we decide to train our own models for license recommendation we will either use Amazon SageMaker or Amazon EC2 with AWS Elastic Load Balancing (ELB) and AWS ASG as they are ideal for model training and inference.
related Api.ai posts
- Easy to use7
- Great customer support4
- Easy setup4
- Custom webhooks1