Software Alternatives & Reviews

The full tech stack to run a chatbot — behind the scenes of an open source bot platform

Xatkit Spring Framework React Lombok NLP.js Foundation
  1. 1
    Extensible low-code platform for chatbot development
    Pricing:
    • Open Source
    While we wait for these tools to pop up, any tech question on the internals of Xatkit you'd like to know? And if you want to read more about the technologies we have listed above, this twitter thread gives some pointers to good tutorials for them:.

    #Chatbots #Chatbot Platforms & Tools #AI 8 social mentions

  2. The Spring Framework provides a comprehensive programming and configuration model for modern Java-based enterprise applications - on any kind of deployment platform.
    Pricing:
    • Open Source
    Our eCommerce dashboard is a Spring application relying on Thymeleaf as server-side Java template engine and foundation as responsive front-end framework.

    #Developer Tools #Web Frameworks #JavaScript Tools 11 social mentions

  3. 3
    A JavaScript library for building user interfaces
    Pricing:
    • Open Source
    The eCommerce chatbot is implemented as a WordPress plugin in PHP whose mission is to simply embed in the proper PHP WP pages the Xatkit widget displaying the bot. The widget itself is a react component that talks with the server component managing the core chatbot logic via a websocket.

    #Javascript UI Libraries #JS Library #JavaScript Framework 775 social mentions

  4. 4
    Application and Data, Languages & Frameworks, and Java Tools
    Pricing:
    • Open Source
    The core elements of the ecommerce bot (the intents, training sentences and business logic to execute for every matched intent) are implemented with our Java Fluent API that wraps a set of EMF-based core classes modeling our chatbot specification primitives and the help of Lombok to simplify the writing of the bot specification.

    #Web Frameworks #Application And Data #Languages & Frameworks 49 social mentions

  5. 5
    An NLP library for building bots, with entity extraction, sentiment analysis, automatic language identify, and so more - axa-group/nlp.js
    To determine which chatbot intent is the best match for the user textual input, we rely on nlp.js (in JS) though we are in the process of moving to our new Python NLP server for better optimization of the needs of eCommerce conversations. A preprocessor language model is also used to improve the chances of a matching.

    #Spreadsheets #Productivity #NLP And Text Analytics 8 social mentions

  6. The most advanced responsive front-end framework in the world
    Pricing:
    • Open Source
    Our eCommerce dashboard is a Spring application relying on Thymeleaf as server-side Java template engine and foundation as responsive front-end framework.

    #CSS Framework #Design Tools #Development Tools 18 social mentions

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