
Plotly
D3.js
RAWGraphs
Tableau
Highcharts
Google Charts
Bokeh
Chart.js
Voiceflow
Retell AI
Vapi
Bland AI
Botpress
Bubble.io
Landbot
Nova Code Editor
Plotly
VoiceflowPlotly 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.
Voiceflow is particularly recommended for product managers, UX designers, developers, educators, and enterprises that aim to innovate within the voice and chat app space. It's suitable for those who want to create engaging conversational experiences without the overhead of complex programming.
Based on our record, Plotly seems to be a lot more popular than Voiceflow. While we know about 34 links to Plotly, we've tracked only 1 mention of Voiceflow. 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 / 4 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 / over 1 year 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
Voiceflow.com is a site where you can tweak and build your own AI assistant with a visual interface that uses ChatGPT as the muscle. I've been trying to use it to experiment with the boundaries of ChatGPT's programming such as using DAN prompts like what /u/thechatgptkingha224 has created. I'd like to do it there because there's a lot of customizability in how it responds. However although there is often limited... Source: about 3 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.
Retell AI - API that enables developers to build human-like voice agents
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Vapi - Voice AI Infrastructure for the Internet
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.
Bland AI - An AI Phone Calling API