
Anchor.fm
Buzzsprout
Poddy
Acast
Podbean
Podomatic
Pocket Casts
Player FM
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
Anchor.fm is recommended for new podcasters, hobbyists, and those who want a straightforward, cost-effective solution for launching and managing their podcasts without needing extensive technical expertise.
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, Anchor.fm should be more popular than Plotly. It has been mentiond 93 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.
Anchor - The best way to create your podcast. - Source: dev.to / about 2 years ago
Is u/elonmusk the X-Factor? X-etiquette? Subscribe for free via u/YouTube https://youtube.com/@renaldomckenzie or via audio podcast. Find your stream here: @forpodcasters https://anchor.fm/. Source: almost 3 years ago
I supposed that sort of lends to another question I have - are podcasts even downloaded these days? Or are they streamed? For example, the anchor.fm analytics don't even give me download numbers. Source: over 3 years ago
Hey planning on starting a small podcast with some old friends. Need suggestions on a mic that can provide a decent audio quality on anchor.fm Also keep in mind that we're just interns right now so can't afford a huge bill and if the product is widely available on Amazon India that would be great. Thanks. Source: over 3 years ago
Get Creative with Your Content: Canva (https://www.canva.com/) is a website that offers a variety of templates and design tools to help you create visually appealing content like GIFs and social media posts. Anchor (https://anchor.fm/) and Buzzsprout (https://www.buzzsprout.com/) are websites that can help with podcast hosting and distribution. 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
Buzzsprout - Buzzsprout is a leading Podcast platform that allows you to enjoy, host, promote and track your own podcast.
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.
Poddy - Social Podcasting App
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Acast - All in one solution for podcast creators and listeners 🎙
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.