
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
Microsoft Bot Framework
Botpress
Dialogflow
Open Assistant.io
Wit.ai
Khoj
Amazon Lex
ChatBot
Plotly is recommended for data scientists, analysts, and developers who need to create interactive and visually appealing data visualizations. It's particularly useful for those who work with Python or R and want the ability to embed their visualizations in web applications or dashboards.
This tool is highly recommended for developers looking to create enterprise-grade chatbots, especially those already using Microsoft's cloud infrastructure (Azure). It's also suitable for teams seeking to integrate AI and natural language processing capabilities into their bots with relative ease.
Based on our record, Plotly should be more popular than Microsoft Bot Framework. It has been mentiond 34 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Let's dive into some practical examples. First, you'll need to set up your environment with the right tools. I recommend using pandas for data manipulation and plotly for visualization. - Source: dev.to / 6 months ago
Plotly is perfect for interactive visualizations. You can create interactive charts and graphs that allow users to hover, click, and zoom in. Plotly is also great for web-based visuals, making it easy to share your findings online. - Source: dev.to / over 1 year ago
Front End: A React application that leverages React-Chatbotify library to easily integrate a chatbot GUI. It also uses the Plotly library to display the charts/visualizations. The generative AI implementation and details are entirely abstracted from the front end. The front-end application depends on a single REST endpoint of the backend application. - Source: dev.to / over 1 year ago
In this tutorial, Mariya Sha will guide you through building a stock value dashboard using Taipy, Plotly, and a dataset from Kaggle. - Source: dev.to / almost 2 years ago
How to Accomplish: Utilize visualization libraries like Matplotlib, Seaborn, or Plotly in Python to create histograms, scatter plots, and bar charts. For image data, use tools that visualize images alongside their labels to check for labeling accuracy. For structured data, correlation matrices and pair plots can be highly informative. - Source: dev.to / about 2 years ago
Chatbot frameworks: Utilize chatbot frameworks such as Botpress, Rasa, or Microsoft Bot Framework to streamline development. - Source: dev.to / over 3 years ago
I have developed MS Teams Message Extension using Java[Spring Boot] and registered the bot in Botframework Development portal[https://dev.botframework.com/]. It is working fine in local. I tested in local environment using a tunneling application named localtunnel. I tested the extension in MS Teams. Source: over 4 years ago
Maybe this will fit your needs? Microsoft Bot Framework - https://dev.botframework.com/. Source: over 4 years ago
This library (also Node.Js) lets you connect to The Microsoft Bot Framework. Source: almost 5 years ago
Besides building informational chatbots using QnA Maker, Azure also provides a larger Bot Service for developing more sophisticated chatbots. Transactional chatbots perform operations such as accessing and modifying internal IT documents and databases and dynamic and context aware chatbots can be used as virtual assistants. Bot Framework is an SDK that lets developers create these kinds of chatbots using their... - Source: dev.to / about 5 years ago
D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.
Botpress - Open-source platform for developers to build high-quality digital assistants
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Dialogflow - Conversational UX Platform. (ex API.ai)
Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.
Open Assistant.io - Conversational AI for everyone.