What is Microsoft Bot Framework and what are its top alternatives?
Top Alternatives to Microsoft Bot Framework
It is an open source developer tool for building chat bots, apps and custom integrations for major messaging platforms. ...
Give users new ways to interact with your product by building engaging voice and text-based conversational apps. ...
It combines artificial intelligence (AI) and sophisticated analytical software for optimal performance as a "question answering" machine. ...
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. ...
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. ...
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. ...
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. ...
With bots and live-messaging tools, you can create a custom experience for your unique audience. ...
Microsoft Bot Framework alternatives & related posts
- Relatively easy to understand and help/active community3
related Botkit posts
- Built-in conversational agents14
- Custom Webhooks6
- Great interface4
- OOTB integrations3
- Knowledge base2
- Multi Lingual2
- Quick display1
- Multi lingual8
- Can’t be self-hosted2
related Dialogflow posts
- Prebuilt front-end GUI1
- Intent auto-generation1
- Custom webhooks1
related IBM Watson posts
related Api.ai 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.
- Custom wake word support3
- Standalone Bot Composer and Emulator1
- Multiple Languaje Platform1
related Azure Bot Service posts
- Integrating with other services9
- Getting customized notifications and news7
- Creating custom tools like GitHub bot5
- Creating private/public bots4
- Easy setup4
- Great documentation which is easily understandable4
- Easily manageable1
related Telegram Bot API posts
- Clean and Simple Communication1