Plotly
D3.js
Chart.js
RAWGraphs
Highcharts
Google Charts
Tableau
Microsoft Power BI
Topol.io
Stripo
BeeFree.io
Postcards
Unlayer
MJML
Pagenflow
Chamaileon.io
Beautiful emails made easy!
Use drag & drop to create emails in minutes. No coding or design skills are needed.
Save hours on e-mail production. You don't have to be a graphic designer, HTML coder, or specialist on email rendering.
Drag and Drop - It's quick, it's easy, it's intuitive, and it's fun. You will start to like creating emails! Or you can use our templates.
Beautiful and responsive. No more troubles with rendering on different clients, even Outlook.
Direct integration with Mailchimp, Sendinblue, Sendgrid, Constant Contact, and many more coming.
We have been developing our editor for more than 4 years, and it is tested by thousands of users worldwide.
Do you want to integrate our editor? We also have TOPOL Plugin that can be embedded as a white label solution into any platform.
Plotly Topol.ioPlotly 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 more popular. It has been mentiond 33 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.
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 / 2 months 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 / 4 months 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 / 6 months 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 / 12 months ago
For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: over 1 year 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.
Stripo - Stripo is an all-in-one email design platform. We enable our clients to build emails of any complexity, including interactive AMP emails, really fast and easy.
Chart.js - Easy, object oriented client side graphs for designers and developers.
BeeFree.io - Bee is MailUp's drag-&-drop editor for responsive design emails.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Postcards - Create, edit and manage awesome email newsletters 😻