Alternatives to Botpress logo

Alternatives to Botpress

Botkit, Dialogflow, Microsoft Bot Framework, Chatfuel, and Telegram Bot API are the most popular alternatives and competitors to Botpress.
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What is Botpress and what are its top alternatives?

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
Botpress is a tool in the Chatbot Platforms & Tools category of a tech stack.
Botpress is an open source tool with 9.7K GitHub stars and 1.3K GitHub forks. Here’s a link to Botpress's open source repository on GitHub

Top Alternatives to Botpress

  • Botkit
    Botkit

    It is an open source developer tool for building chat bots, apps and custom integrations for major messaging platforms. ...

  • Dialogflow
    Dialogflow

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

  • Microsoft Bot Framework
    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. ...

  • Chatfuel
    Chatfuel

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

  • Telegram Bot API
    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. ...

  • IBM Watson
    IBM Watson

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

  • Messenger Platform
    Messenger Platform

    With bots and live-messaging tools, you can create a custom experience for your unique audience. ...

  • Amazon Lex
    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 alternatives & related posts

Botkit logo

Botkit

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Building Blocks for Building Bots
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PROS OF BOTKIT
  • 3
    Relatively easy to understand and help/active community
CONS OF BOTKIT
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    related Botkit posts

    Dialogflow logo

    Dialogflow

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    Give users new ways to interact with your product by building engaging voice and text-based conversational apps.
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    PROS OF DIALOGFLOW
    • 14
      Built-in conversational agents
    • 6
      Custom Webhooks
    • 4
      OOTB integrations
    • 4
      Great interface
    • 3
      Multi Lingual
    • 2
      Knowledge base
    • 1
      Quick display
    CONS OF DIALOGFLOW
    • 8
      Multi lingual
    • 2
      Can’t be self-hosted

    related Dialogflow posts

    Microsoft Bot Framework logo

    Microsoft Bot Framework

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    Connect intelligent bots that interact via text/sms, Skype, Slack, Office 365 mail and other popular services
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    PROS OF MICROSOFT BOT FRAMEWORK
    • 18
      Well documented, easy to use
    • 3
      Sending Proactive messages for the Different channels
    CONS OF MICROSOFT BOT FRAMEWORK
    • 1
      LUIS feature adds multilingual capabilities

    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?

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    Chatfuel logo

    Chatfuel

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    Create chatbots easily — no coding required
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    PROS OF CHATFUEL
    • 5
      AI Engine
    • 4
      Easy setup that is also scalable
    CONS OF CHATFUEL
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      related Chatfuel posts

      Telegram Bot API logo

      Telegram Bot API

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      HTTP-based interface created for developers keen on building bots for Telegram
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      PROS OF TELEGRAM BOT API
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        Integrating with other services
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        Getting customized notifications and news
      • 5
        Creating custom tools like GitHub bot
      • 4
        Great documentation which is easily understandable
      • 4
        Easy setup
      • 4
        Creating private/public bots
      • 1
        Easily manageable
      CONS OF TELEGRAM BOT API
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        related Telegram Bot API posts

        IBM Watson logo

        IBM Watson

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        A question-answering computer system capable of answering questions posed in natural language
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        PROS OF IBM WATSON
        • 3
          Api
        • 1
          Prebuilt front-end GUI
        • 1
          Intent auto-generation
        • 1
          Custom webhooks
        • 1
          Disambiguation
        CONS OF IBM WATSON
        • 1
          Multi-lingual

        related IBM Watson posts

        Messenger Platform logo

        Messenger Platform

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        Tools to help you build your bot and reach 900 million people around the world
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        PROS OF MESSENGER PLATFORM
        • 1
          Clean and Simple Communication
        CONS OF MESSENGER PLATFORM
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          related Messenger Platform posts

          Amazon Lex logo

          Amazon Lex

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          Build conversational voice and text interfaces, using the same deep learning technologies as Alexa
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          PROS OF AMAZON LEX
          • 7
            Easy console
          • 4
            Built in chat to test your model
          • 2
            Easy integration
          • 2
            Great voice
          CONS OF AMAZON LEX
          • 5
            English only

          related Amazon Lex posts

          Arthur Boghossian
          DevOps Engineer at PlayAsYouGo · | 3 upvotes · 70K views

          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.

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