Web application for analyzing your music library using Spotify's API.
Melophile is a web app that uses Spotify's API to anyalyze your music library and generate data and graphs.
This project aims to use all data available to allow you to view your library in a whole new way, and make discoveries about your music taste that were otherwise impossible.
Sharing and making your profile public allows users to discover new music through the best of other's libraries.
Think Spotify Wrapped with a greater emphasis on your library as a whole.
- Your Library Overview
- Your Top Charts
- Sharing Your Data
- Discovery Tool
- Your History
- Track Analysis
- Artist Analysis
- Playlist Analysis
- Genre Analysis
- Album Analysis
Your Library Overview contains data on your library as a whole:
- Number of Tracks, Artists, Genres, Playlists
- Timeline of when you liked tracks.
- Top Played Tracks (Top 5)
- Top Played Artists (Top 5)
- Top Liked Genres (Top 5)
- Averages of:
- Happiness
- Danceability
- Energy
- Tempo
- Distribution graphs of:
- Happiness
- Danciability
- Energy
- Chance a song in your library is:
- Live
- Accoustic
- Instrumental
- Speech Based (Podcasts)
- Percent of tracks in Major Key vs Minor
This data is shareable and updates upon request.
Your overview is first generated on your first login and takes some time depending on how large your library is. The application is requesting every song, every track, every playlist in order to generate this data.
Your Top Charts are separated into three categories: Top Played, Top Saved and Extremes.
The save button allows you to create a Playlist for a chart of your choice.
Top played looks at listening time. These lists are provided by Spotify's API.
You can choose to view your top played:
- Tracks
- Artists
And clarify the scope to:
- Last few years
- Last few months
- Last few weeks
Top saved looks at how many tracks you have saved under a given artist or genre. These lists are generated from processing your library.
You can choose to view your top saved:
- Artists
- Genres
Extremes sort your library by either the most or least of the following categories:
- Happy
- Danceable
- Energetic
- Tempo
- Chance it's Live
- Chance it's Accoustic
- Chance it's Instrumental
- Chance it's Speech based (podcasts)
So you can see you're happiest tracks, slowest tracks, least danceable, and so on.
Your Library Overview and Top Charts are shareable via link. By default your data is private and only accessable to you when you login with your Spotify account.
The hope is people will have access to each other's top played and discover new music through the best of each other's libraries!
Should you wish to share your data, a button on your Library Overview page, or the tab My Profile will allow you to select items you wish to be shared.
You have two choices for sharing:
- Public
- By Link
Public will be featured on the Public Profiles page for all to see.
By Link will only be accessable for those who have your specific link. They are public, but you'd have to know the exact link.
I hope you consider making your profile public!
The discovery tool is an extension of the already existing Radio tool from Spotify with more options.
To start, select up to five artists or tracks you'd like to find simular tracks to.
Recommends will be listed, however you can apply advanced filters.
For each of the listed traits, you can specify a target value or minimum and maximum:
- Happiness
- Danceability
- Energy
- Tempo
- Accousticness
- Instrumentalness
- Liveness
- Speechiness
This allows you to tailor your radios to requests such as:
- Find me tracks like this but happier.
- Find me tracks like this but make sure they're still sad.
- Find me tracks like this but more danceable.
- Find me tracks like this but instrumental.
Keep in mind the further you filter results the harder of a time Spotify has finding your exact needs, and in some cases no results will be returned.
Keep filters simple and use target value over minimum and maximum for best results.
The save button allows you to create a Playlist for a list of recommends.
Your History includes Library Overview data specific to specified years or months.
General data once again includes:
- Timeline of when you liked tracks.
However additionally included:
- Timeline of genre trends
- Timeline of artist trends
Meaning a timeline showing you what genres / artist you were most into and when.
It should be noted, Spotify's API does not provide listening time data besides their top played endpoint.
That means all this data is derived from what you liked (added) in a given time period.
If you spent a whole month listening to a song you added years ago, there's no way to know that. This data is only relevent to what you were adding to your libary.
On top of general timelines you can view:
- Month Analysis'
- Year Analysis'
These will include:
- Number of Tracks, Artists, Genres Added
- Timeline of when you liked tracks.
- Top Saved Artists
- Top Liked Genres
- Averages of:
- Happiness
- Danceability
- Energy
- Tempo
- Distribution graphs of:
- Happiness
- Danciability
- Energy
- Chance a song your liked in this time interval is:
- Live
- Accoustic
- Instrumental
- Speech Based (Podcasts)
- Percent of tracks in Major Key vs Minor
The save button allows you to create a Playlist for a month or year of your choice, or create playlists for every month or year.
Any Track shown on melophile.org can be selected to take you to it's analysis.
Track Analysis has multiple tabs with different information:
- Overview
- Analysis
- Compairson
Overview focuses on general track data.
Information displayed includes:
- Album Data
- Artist Data
- Genre Data
- Popularity
- Simular Songs
- Release Date
Analysis focuses on audio data from the track.
Information displayed includes:
- Visualzation of Audio Wave.
- Happiness
- Danceability
- Energy
- Chance the Track is:
- Live
- Accoustic
- Instrumental
- Speech Based (podcast)
- Musical Statistics:
- Key
- Major / Minor
- Tempo
- Duration
My Relationship focuses on how this track compairs or fits into your library.
Information displayed includes:
- Compaired to your library what percentile it falls under in the following categories:
- Happiness
- Danceability
- Energy
- When you liked it.
- What else you were liking at the time.
- Playlists you included it in.
- Simular tracks in your library.
Any Artist shown on melophile.org can be selected to take you to it's analysis.
Artist Analysis has multiple tabs with different information:
- Overview
- My Relationship
- Tracks
Overview focuses on general artist data.
Information displayed includes:
- Populartity
- Followers
- List of Top Tracks
- Top Track Characteristics:
- Happiness
- Danceability
- Energy
- Artist Genres
- Related Artists
- Description
- Albums
- Sortable by:
- Happiness
- Energy
- Danceability
- Popularity
- Sortable by:
My Relationship focuses on your relationship with this artist.
Information displayed includes:
- When you first liked a track from them.
- Age of relationship (date last liked - date first liked)
- Timeline of when you liked their tracks.
- Averages of the tracks you liked:
- Happiness
- Danceability
- Energy
- Popularity
- Distributions of the tracks you liked by characteristic:
- Happiness
- Danceability
- Energy
- Popularity
- Other tracks you liked at the same time.
- Playlist you included them in
Tracks is a list of tracks you've liked from them.
Sortable by:
- Added Date
- Happiness
- Danceability
- Energy
- Popularity
Any Playlist shown on melophile.org can be selected to take you to it's analysis.
Playlist Analysis has multiple tabs with different information:
- Overview
- Tracks
Overview focuses on general playlist data.
Information displayed includes:
- Owner Data
- Creation Date
- Number of Track and Artists
- Age of relationship (date last liked - date first liked)
- Characteristics Over Course of Playlist:
- Happiness
- Danceability
- Energy
- Distribution of:
- Happiness
- Danceablity
- Energy
- Artists Present
- Dominant (If Any)
- Genres Present
- Dominant (If Any)
- Followers
Tracks is a list of tracks you've liked from them.
Sortable by:
- Happiness
- Energy
- Danceability
- Popularity
- Added Date
Changes can be applied directly to the playlist should you wish to reorder them.
Any Genre shown on melophile.org can be selected to take you to it's analysis.
It should be noted genres are assigned to Artists and therefore as assumed for all of their tracks. Spotify does not give Tracks genres.
The save button allows you to create a Playlist for a genre.
Genre Analysis has multiple tabs with different information:
- Overview
- Tracks
- Artists
Overview focuses on general genre data.
Information displayed includes:
- Number of Tracks and Artists
- Most liked Artist in this Genre
- Distributions of liked track characteristics:
- Happiness
- Danceability
- Energy
- Timline of when you liked tracks in this genre.
- Playlists where this genre is dominant.
Tracks is a list of tracks you've liked from this genre.
Sortable by:
- Happiness
- Danceability
- Energy
- Added Date
Artists is a list of artists you've liked from this genre.
Sortable by:
- Number of tracks saved.
Any Album shown on melophile.org can be selected to take you to it's analysis.
Album Analysis has multiple tabs with different information:
- Overview
- Tracks
Overview focuses on general album data.
Information displayed includes:
- Artist Data
- Number of Tracks
- Average Popularity
- Distributions of track characteristics:
- Happiness
- Danceability
- Energy
- Characteristics Over Course of Album:
- Happiness
- Danceability
- Energy
- Release Date
- Genres
- Playlist you included it in.
Tracks is a list of tracks from the album.
Sortable by:
- Offical Order
- Happiness
- Danceability
- Energy
- Refactor of melophile.org
- Refactor of server.
- Mobile Application
- Melophile | Clash: Round based game using your top tracks.
- Melophile | Playlists: Website dedicated to Playlist Generation
- Melophile | Convert: Website dedicated to conversion from Apple Music to Spotify
A peek into how the site was built and how it works.
melophile.org is designed using Vue CLI, a front-end framework. Additional components are used from Vuetify.
For additional information visit the markdown.
The server is designed using node.js.
Analysis and data requests are made to an express Rest API.
Processing of the user's library is dealt with by a web-socket server.
Data is saved to a Mongo Database to limit the amount of requests required to Spotify's API.
For additional information visit the markdown.
