Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
Typevis
Typevis is a cloud-based motion design platform that uses plug-and-play technology to help you automate and scale your marketing design quickly. No coding required.
Use our Visual Designer to create your template for one format then adapt it to other formats. Add animations to the Dynamic Timeline for a fast and scalable design powered by HTML, CSS, and Javascript.
Use our simple On-site Editor to add content and images to your media. Export your creation to all the formats and file types you want. Typevis saves you time and resources by rendering your exports on the Cloud instead of on your device or browser.
Create automated workflows to streamline your repetitive tasks, reduce errors, and execute faster. Focus on growing your business by using our robust integration solutions.
Increase efficiency and provide personalized experiences to your customers by using our REST API and your dynamic templates.
Typevis lets you grant different levels of access, so your team can work together. Preload templates with your brand assets and guidelines so everyone stays on the same page.
Plotly TypevisPlotly 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.
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Based on our record, Plotly seems to be more popular. It has been mentiond 34 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.
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 / 6 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 / almost 2 years 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
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.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
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.
Google Charts - Interactive charts for browsers and mobile devices.
Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application
Bokeh - Bokeh visualization library, documentation site.