
Soundiiz
Tune My Music
FreeYourMusic
SongShift
Exportify
Musconv
Last.fm
PlaylistGo.io
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
SoundiizPlotly 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, Soundiiz should be more popular than Plotly. It has been mentiond 221 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.
For those unaware, there are services like TuneMyMusic [1] and Soundiiz [2] that allow you to transfer playlists between platforms for a fee. Spotify did shut down certain API endpoints last month [3] though, so there's no guarantee these services may continue working for Spotify. Worst case scenario you'd have to download your data [4] and then figure out a way to create playlists on the other platform. [1]... - Source: Hacker News / over 1 year ago
Use https://soundiiz.com/ to migrate your playlists to other services. I paid a few bucks for one month of subscription and transferred a boatload of playlists (even ones that Spotify generated for me, like my previous Wrapped 'lists) over to YT Music. Source: over 2 years ago
For those wondering what I used to convert the playlist, its TuneMyMusic. Theres a better alternative but it has more paid features. Soundiiz. Source: almost 3 years ago
Although you’ll want to use a service like https://soundiiz.com to transfer your playlist or songs if you added if you want to switch music service too. Source: almost 3 years ago
Or soundiiz.com can create that I think, but not in order (not sure at 100%). Source: about 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
Tune My Music - Transfer Playlists Between Music Services
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.
FreeYourMusic - Migrate from and to any music services
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
SongShift - Connect multiple music services to transfer music libraries & automate syncing between different music providers. And more! Custom source + destination configurations, extra features like merging, bulk processes, update monitoring, smart matching.
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.