
Spotalike
Magic Playlist
Spotify.me
TasteDive
Spotify
Doppler for iPhone
The Eternal Jukebox
Music Walker
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
Spotalike
PlotlyMusic enthusiasts who like discovering new music similar to their favorite tracks, Spotify users looking for quick playlist generation, and anyone who enjoys exploring new artists and genres with minimal effort.
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.
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Plotly might be a bit more popular than Spotalike. We know about 34 links to it since March 2021 and only 23 links to Spotalike. 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'll also use spotalike.com, and tunebat.com. Source: about 3 years ago
Spotilike: basically the same thing as is built into the Spotify desktop app. Source: over 3 years ago
-Expand your music taste, put stuff into spotalike and find new songs. Source: over 3 years ago
Https://spotalike.com/ paste in a song. And it will give similiar results. Source: almost 4 years ago
Https://spotalike.com - create Spotify playlists based on your favorite songs. Source: almost 4 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
Magic Playlist - Get the playlist of your dreams based on a song
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.
Spotify.me - Beautiful analytics on your Spotify listening habits ๐ง
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
TasteDive - TasteDive recommends similar music (musicians, bands), movies, TV shows, books, authors and games, based on what you like.
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.