Landbot
ManyChat
Chatfuel
Intercom
ChatBot
Tidio
Drift
Botsify
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
Landbot is a user-friendly no-code solution for creation of conversational apps which are a natural evolution of chatbots. Conversational apps combine benefits of an interactive conversational interface with rich UI elements while automating advanced data workflows like business applications. Hence, they address business needs on both the communication and process automation level. In a nutshell, with or without NLP, Landbot helps you optimize every stage of the customer journey from lead generation to customer support on the web, WhatsApp or Messenger - without coding.
Landbot
PlotlyPlotly 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.
Based on our record, Plotly seems to be a lot more popular than Landbot. While we know about 34 links to Plotly, we've tracked only 1 mention of Landbot. 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.
Landbot is ideal for marketers and small teams that want visually appealing chatbots without technical barriers. It offers conversational landing pages and interactive flows that help improve lead capture and engagement, making it a lighter alternative to more complex platforms like Botpress. Landbot focuses on visually interactive chatbots and conversational landing pages. It is simple to use and ideal for... - Source: dev.to / 10 months ago
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
ManyChat - ManyChat lets you create a Facebook Messenger bot for marketing, sales and support.
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.
Chatfuel - The AI system that turns ad clicks into revenue — qualified, sold, and proven, autonomously.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Intercom - Intercom is a customer relationship management and messaging tool for web businesses. Build relationships with users to create loyal customers.
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.