
Plotly
D3.js
RAWGraphs
Tableau
Highcharts
Google Charts
Bokeh
Chart.js
Player FM
Pocket Casts
TuneIn Radio
gPodder
Acast
Podomatic
Overcast
Buzzsprout
Plotly
Player FMPlotly 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.
Plotly might be a bit more popular than Player FM. We know about 34 links to it since March 2021 and only 29 links to Player FM. 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 / 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
Finally, you'll need to distribute the podcast to as many venues and apps as possible, including but not limited to Spotify, Apple, Google, Amazon, PlayerFM, ListenNotes, iHeartRadio, etc. - Source: dev.to / almost 3 years ago
That's just an app, you can use another one and still listen to old episodes of the Church. I like one called player.fm. Source: about 3 years ago
I've been using player.fm. Will episodes no longer appear there? Source: over 3 years ago
Player FM does those things https://player.fm/. Source: over 3 years ago
I download my podcast from https://player.fm/. I just make sure to bring them into itunes to get them ordered correctly before putting them on my Shokz. Source: over 3 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.
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.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
TuneIn Radio - With TuneIn Radio Mobile, your mobile device becomes the radio.
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.
gPodder - gPodder // Media aggregator and podcast client. gPodder is a simple, open source podcast client written in Python using GTK+. In development since 2005 with a proven, mature codebase. The latest version is 3.