Alternatives to Wit.ai logo

Alternatives to Wit.ai

Dialogflow, Api.ai, TensorFlow, Chatfuel, and Telegram Bot API are the most popular alternatives and competitors to Wit.ai.
24
64
+ 1
5

What is Wit.ai and what are its top alternatives?

Iti is an API that makes it very easy for developers to create applications or devices that you can talk to. Any app, or any device, like a smart watch, Google Glass, Nest, even a car, can stream audio to the Wit API, and get actionable data in return. We turn speech into actions. Think Twilio for Natural Language, with Stripe-level developer friendliness.
Wit.ai is a tool in the Chatbot Platforms & Tools category of a tech stack.
Wit.ai is an open source tool with GitHub stars and GitHub forks. Here’s a link to Wit.ai's open source repository on GitHub

Top Alternatives to Wit.ai

  • Dialogflow

    Dialogflow

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

  • Api.ai

    Api.ai

    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. ...

  • TensorFlow

    TensorFlow

    TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. ...

  • 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. ...

  • 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. ...

  • 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. ...

Wit.ai alternatives & related posts

Dialogflow logo

Dialogflow

220
528
32
Give users new ways to interact with your product by building engaging voice and text-based conversational apps.
220
528
+ 1
32
PROS OF DIALOGFLOW
  • 14
    Built-in conversational agents
  • 6
    Custom Webhooks
  • 4
    Great interface
  • 3
    OOTB integrations
  • 2
    Knowledge base
  • 2
    Multi Lingual
  • 1
    Quick display
CONS OF DIALOGFLOW
  • 8
    Multi lingual
  • 2
    Can’t be self-hosted

related Dialogflow posts

Api.ai logo

Api.ai

66
128
3
Conversational interface platform for apps, devices, bots, and services.
66
128
+ 1
3
PROS OF API.AI
  • 3
    55
CONS OF API.AI
    Be the first to leave a con

    related Api.ai posts

    TensorFlow logo

    TensorFlow

    2.7K
    2.9K
    77
    Open Source Software Library for Machine Intelligence
    2.7K
    2.9K
    + 1
    77
    PROS OF TENSORFLOW
    • 25
      High Performance
    • 16
      Connect Research and Production
    • 13
      Deep Flexibility
    • 9
      True Portability
    • 9
      Auto-Differentiation
    • 2
      Easy to use
    • 2
      High level abstraction
    • 1
      Powerful
    CONS OF TENSORFLOW
    • 9
      Hard
    • 6
      Hard to debug
    • 1
      Documentation not very helpful

    related TensorFlow posts

    Conor Myhrvold
    Tech Brand Mgr, Office of CTO at Uber · | 8 upvotes · 1.3M views

    Why we built an open source, distributed training framework for TensorFlow , Keras , and PyTorch:

    At Uber, we apply deep learning across our business; from self-driving research to trip forecasting and fraud prevention, deep learning enables our engineers and data scientists to create better experiences for our users.

    TensorFlow has become a preferred deep learning library at Uber for a variety of reasons. To start, the framework is one of the most widely used open source frameworks for deep learning, which makes it easy to onboard new users. It also combines high performance with an ability to tinker with low-level model details—for instance, we can use both high-level APIs, such as Keras, and implement our own custom operators using NVIDIA’s CUDA toolkit.

    Uber has introduced Michelangelo (https://eng.uber.com/michelangelo/), an internal ML-as-a-service platform that democratizes machine learning and makes it easy to build and deploy these systems at scale. In this article, we pull back the curtain on Horovod, an open source component of Michelangelo’s deep learning toolkit which makes it easier to start—and speed up—distributed deep learning projects with TensorFlow:

    https://eng.uber.com/horovod/

    (Direct GitHub repo: https://github.com/uber/horovod)

    See more

    In mid-2015, Uber began exploring ways to scale ML across the organization, avoiding ML anti-patterns while standardizing workflows and tools. This effort led to Michelangelo.

    Michelangelo consists of a mix of open source systems and components built in-house. The primary open sourced components used are HDFS, Spark, Samza, Cassandra, MLLib, XGBoost, and TensorFlow.

    !

    See more
    Chatfuel logo

    Chatfuel

    65
    90
    9
    Create chatbots easily — no coding required
    65
    90
    + 1
    9
    PROS OF CHATFUEL
    • 5
      AI Engine
    • 4
      Easy setup that is also scalable
    CONS OF CHATFUEL
      Be the first to leave a con

      related Chatfuel posts

      Telegram Bot API logo

      Telegram Bot API

      274
      229
      34
      HTTP-based interface created for developers keen on building bots for Telegram
      274
      229
      + 1
      34
      PROS OF TELEGRAM BOT API
      • 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
      CONS OF TELEGRAM BOT API
        Be the first to leave a con

        related Telegram Bot API posts

        Microsoft Bot Framework logo

        Microsoft Bot Framework

        154
        340
        21
        Connect intelligent bots that interact via text/sms, Skype, Slack, Office 365 mail and other popular services
        154
        340
        + 1
        21
        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?

        See more
        IBM Watson logo

        IBM Watson

        130
        173
        7
        A question-answering computer system capable of answering questions posed in natural language
        130
        173
        + 1
        7
        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

        119
        124
        1
        Tools to help you build your bot and reach 900 million people around the world
        119
        124
        + 1
        1
        PROS OF MESSENGER PLATFORM
        • 1
          Clean and Simple Communication
        CONS OF MESSENGER PLATFORM
          Be the first to leave a con

          related Messenger Platform posts