
Plotly
D3.js
RAWGraphs
Tableau
Highcharts
Google Charts
Bokeh
Chart.js
LiveChat
Intercom
tawk.to
Freshdesk
LiveAgent
Zendesk
Tidio
Crisp Chat
Plotly
LiveChatPlotly 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.
LiveChat is highly recommended for businesses of all sizes that wish to improve their customer support operations. It's particularly beneficial for eCommerce platforms, SMEs, and large enterprises looking to increase sales through enhanced customer communication and support.
Based on our record, Plotly seems to be a lot more popular than LiveChat. While we know about 34 links to Plotly, we've tracked only 2 mentions of LiveChat. 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
Some of it is going to depend on your budget and needs. Many (most?) livechat providers offer WP functionality. For example, livechat.com has a free WP plugin to offer livechat on WP sites:. Source: about 4 years ago
I am free to use any existing library or whatnot, what I was wondering is how easy it is to implement and deploy. I'm not being asked to build a full live chat from scratch, just try and implement a solution that won't add monthly charges to the predicted monthly cost of the website (ie pre-made solutions such as livechat.com that would cost atleast $16/mo). Source: over 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.
Intercom - Intercom is a customer relationship management and messaging tool for web businesses. Build relationships with users to create loyal customers.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
tawk.to - tawk.to is a free live chat app that lets you monitor and chat with visitors on your website or from a free customizable page
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.
Freshdesk - Freshdesk is a cloud-based customer support software that lets you support customers through traditional channels like phone and email, social channels like Facebook and Twitter, and your own branded community