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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 should be more popular than Podurama. 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.
I randomly stumbled upon podurama - it's free and it syncs between my mobile (android) and windows. Looks like it supports all platforms though. Source: almost 3 years ago
I've switched to Podurama after trying a bunch of the others, and it's far and away my favorite. It's the most customizable of all the apps I've tried, allowing you to recreate an interface a lot like Stitcher's (which was one of my favorites for a few specific design reasons that none of the other major apps seemed to reproduce) relatively easily! Source: about 3 years ago
All the early users will get free data sync between unlimited devices (including the webapp at https://podurama.com along with the mobile and desktop apps). Source: over 3 years ago
Also Podurama Showing $12.99/yr with 35% discount for me to add all the premium features. But I think cross platform and cloud is still in the free version. Source: over 3 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 / 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
Pocket Casts - All the podcasts you know and love. With over 300, 000 unique shows, we've got you covered. Featured, Trending & Most Popular. See what's popular and find new favorites with Pocket Casts Discover. Read more about Pocket Casts.
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.
Overcast - Video-first asset management for teams
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Poddy - Social Podcasting App
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.