What is Errbot and what are its top alternatives?
Top Alternatives to Errbot
- Hubot
Hubot is a chat bot, modeled after GitHub's Campfire bot, hubot. He's pretty cool. He's extendable with old community scripts, or new community org and your own custom scripts, and can work on many different chat services. ...
- 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. ...
- Dialogflow
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. ...
- IBM Watson
It combines artificial intelligence (AI) and sophisticated analytical software for optimal performance as a "question answering" machine. ...
- Messenger Platform
With bots and live-messaging tools, you can create a custom experience for your unique audience. ...
- 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. ...
- 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 ...
Errbot alternatives & related posts
- Easy setup14
- Extendable13
- Slack integration12
- Free11
- HipChat integration9
- Great adapters to popular chats1
related Hubot posts
We have added very little to the CoffeeScript Hubot application – just enough to allow it to talk to our Hubot workers. The Hubot workers implement our operational management functionality and expose it to Hubot so we can get chat integration for free. We’ve also tailored the authentication and authorization code of Hubot to meet the needs of roles within our team.
For larger tasks, we’ve got an internal #CLI written in Go that talks to the same #API as Hubot, giving access to the same functionality we have in Slack, with the addition of scripting, piping, and all of our favorite #Unix tools. When the Hubot worker recognizes the CLI is in use, it logs the commands to Slack to maintain visibility of operational changes.
Telegram Bot API
- Integrating with other services10
- Getting customized notifications and news7
- Creating custom tools like GitHub bot6
- Easy setup5
- Great documentation which is easily understandable4
- Creating private/public bots4
- Easily manageable1
related Telegram Bot API posts
Hello, I want to implement a Telegram channel in my SAAS Application. Which API should I choose, Telegram API or Telegram Bot API??
Dialogflow
- Built-in conversational agents17
- Custom Webhooks7
- Great interface5
- Multi Lingual5
- OOTB integrations4
- Knowledge base2
- Quick display1
- Multi lingual9
- Can’t be self-hosted2
related Dialogflow posts
Microsoft Bot Framework
- Well documented, easy to use18
- Sending Proactive messages for the Different channels3
- Teams0
- LUIS feature adds multilingual capabilities2
related Microsoft Bot Framework posts
Dear All,
We are considering Chat BOT implementation. However, we are not sure which tool gives what features and when we need to choose. (listing, comparison of Microsoft Bot Framework Vs Power Virtual Agents) Can you please provide the same?
IBM Watson
- Api4
- Prebuilt front-end GUI1
- Intent auto-generation1
- Custom webhooks1
- Disambiguation1
- Multi-lingual1
related IBM Watson posts
Messenger Platform
- Clean and Simple Communication1
related Messenger Platform posts
Amazon Lex
- Easy console9
- Built in chat to test your model6
- Great voice2
- Easy integration2
- Pay-as-you-go1
- English only6
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.
- Easy to use12
- Easy setup6
- Great customer support5
- Multilignual4
- API2
- Custom webhooks1
- GUI1
- Kl0