| dvx/lofi |
1,109 |
|
0 |
0 |
about 2 years ago |
0 |
|
69 |
mit |
TypeScript |
| 🎵🔉 A mini Spotify player with WebGL visualizations. |
| Ameobea/spotifytrack |
70 |
|
0 |
0 |
about 2 years ago |
0 |
|
0 |
mit |
Rust |
| A personal homepage showing users' top songs and artists, providing a shareable link that they can use to show it off to friends. |
| flaredragon/MusiViz |
40 |
|
0 |
0 |
about 6 years ago |
0 |
|
3 |
mit |
JavaScript |
| A Visualization App powered by Spotify which helps better understand your favourite music |
| sejaldua/music-clustering |
35 |
|
0 |
0 |
over 4 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| K-Means Clustering and PCA to categorize music by similar audio features |
| Andreilys/personal_dashboard |
35 |
|
0 |
0 |
almost 7 years ago |
0 |
|
0 |
|
HTML |
| A Real-Time Personal Dashboard For Your Life |
| khanhnamle1994/spotify-artists-analysis |
29 |
|
0 |
0 |
almost 8 years ago |
0 |
|
0 |
mit |
R |
| An exploratory data analysis and data visualization project using data from Spotify Web API |
| MichaelMCoates/Opus |
21 |
|
0 |
0 |
almost 3 years ago |
0 |
|
0 |
|
JavaScript |
| Opus is an artist-exploration data visualization application, built with the Spotify Web API and D3.js |
| dtcrout/spotitude |
17 |
|
0 |
0 |
over 6 years ago |
0 |
|
1 |
mit |
Python |
| Yet another Spotify user analytics visualizer |
| alexing/datadata |
15 |
|
0 |
0 |
about 6 years ago |
0 |
|
5 |
|
Jupyter Notebook |
| Pulling data using both the Genius API and the Spotify API I've been able to analyze Jorge Drexler's music and get some insights and visualizations on his creative process and his songs in general; both from the lyrics side and the musical theory side. Wordcount, lexical and lyrical density, sentiment analysis and analysis of musical components like tempo, time signature and key are all taken into account. Also, in the end, gloom_index is used combining both lyrics and music. |
| kaisugi/spotify-wordcloud |
12 |
|
0 |
0 |
about 3 years ago |
0 |
|
14 |
mit |
Python |
| Visualize, share, and keep your favorite music artists on the Web |
