Mailmodo
Loops.so
MailerLite
MailChimp
Moda
Customer.io
Stripo
Selzy
Plotly
D3.js
RAWGraphs
Tableau
Highcharts
Google Charts
Bokeh
Chart.js
At Mailmodo, we are building the future of marketing and transactional emails. With Mailmodo, businesses will be able to add web-like interactivity like forms, survey, calendar, likes, comments, etc. right inside emails to their users. This will help them to engage their users better and achieve a higher conversion rate from their emails.
Mailmodo 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 Mailmodo. While we know about 34 links to Plotly, we've tracked only 2 mentions of Mailmodo. 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.
Yeah, the ability to do this is ~3 years old, so there are few no-code tools, and it's expensive to do in house. None of the no-code tools that do exist are verticalized around eCommerce. Check out mailmodo.com for an example of a horizontally positioned company in the space. Source: over 3 years ago
Mailmodo helps marketers create app-like experiences in email by adding forms, shopping cart, calendar, NPS and more widgets within the email without any coding. Our interactive emails reduce the number of steps for users, thereby increasing email conversions by ~3x for brands like Razorpay, Cleartax, etc. You can use it to collect feedback from your users, book meetings with prospects, recover abandon carts,... Source: over 4 years 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 / 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
Loops.so - We bought a billboard in Times Square and we're letting you advertise your startup on it!It's free.
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.
MailerLite - Affordable Email Marketing Software. Get all features (Segmentation, Automation, A/B testing) for up to 1,000 subscribers & send unlimited emails for free!
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
MailChimp - MailChimp is the best way to design, send, and share email newsletters.
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.