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Botanalytics

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18
+ 1
0
Telegram Bot API

281
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+ 1
34
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Botanalytics vs Telegram Bot API: What are the differences?

Developers describe Botanalytics as "Conversational analytics tool that helps chatbot owners to improve human-to-bot communication". Identify bottlenecks, filter conversations, and understand engagement. On the other hand, Telegram Bot API is detailed as "HTTP-based interface created for developers keen on building bots for Telegram". 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.

Botanalytics and Telegram Bot API belong to "Chatbot Platforms & Tools" category of the tech stack.

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Pros of Botanalytics
Pros of Telegram Bot API
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    • 9
      Integrating with other services
    • 7
      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

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    What is Botanalytics?

    Identify bottlenecks, filter conversations, and understand engagement.

    What is 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.

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    What companies use Botanalytics?
    What companies use Telegram Bot API?
    See which teams inside your own company are using Botanalytics or Telegram Bot API.
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    What tools integrate with Botanalytics?
    What tools integrate with Telegram Bot API?

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    What are some alternatives to Botanalytics and Telegram 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.
    See all alternatives