
MessageBird
Twilio
Nexmo
Plivo
Sinch
Gupshup.io
Infobip
BulkSMS
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
MessageBird
PlotlyMessageBird is highly recommended for businesses of all sizes, especially those seeking to streamline communication channels under a single platform. It's particularly beneficial for enterprises that require global communication capabilities, customer support solutions, and advanced messaging features. It is also well-suited for developers and companies looking to build scalable communication workflows with rich APIs.
Plotly 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 MessageBird. While we know about 34 links to Plotly, we've tracked only 2 mentions of MessageBird. 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.
Bird is CRM for marketing, services, and payments focusing on enterprise customers. The transactional email platform, formerly known as SparkPost was founded in 2008. In 2021 it was acquired by MessageBird being a part of a large platform that provides tools for sending transactional and marketing emails, SMS, and WhatsApp messages. In 2024 MessageBird rebranded to Bird. - Source: dev.to / about 2 years ago
We built a subscription management chatbot, using Twilio for sending SMS, but it lacked a dashboard to view conversations. I've recently come across https://messagebird.com/en/ - they have a pre-built dashboard that allows your team to respond to messages, as well as a nifty flow builder. Source: about 5 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
Twilio - Brings voice and messaging to your web and mobile applications.
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.
Nexmo - Nexmo is a simple two way SMS API with global reach and wholesale rates
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Plivo - Plivo simplifies your customer engagement.
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.