100 Jazz Classics
Del.icio.us
JamsBio
Last.fm
Musebin
Pownce
Rhapsody
Signal Patterns
Strands
StumbleUpon
Twones
Virb
YouTube
The Music 2.0 Directory is a comprehensive listing of all the companies and tools that are participating in the new music revolution. Directory categories and companies are listed on the sidebar. Subscribe to the RSS feed to keep up current with the latest submissions. Have a suggestion for a listing? Contact us.
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Entries in Visualizations (26)
Normalisr - Time-based charts of last.fm data
A little application to rank your favourite artists and albums by an estimation of how long you have spent listening to them. The form takes your last.fm username, gets the lists of your favourite artists or albums and estimates the time you have spent listening to each of them based on track length data taken from Musicbrainz. The resulting table shows your standard last.fm charts, with reordered rankings based on your estimated listening time.
Jadam Kahn
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Music Arsenal - Software for band management and labels
Music Arsenal takes the less glamorous business side of music and makes it easier to manage. Our tools will help you plan your rise to success by keeping everything in one place and on track. Use Music Arsenal to manage and schedule your upcoming projects, plan your tours, find new places to promote your music and more.
RockDex - See how much your band rocks
RockDex Pro is a revolutionary web application that tracks 1000’s of music websites and collects data on any artist, such as blog posts, tweets, plays, and much more. RockDex analyzes and presents the information to you in one convenient dashboard that gives you a high level view of what is happening online with the artists that are important to you. Drill down into your data to discover trends, gauge the effectiveness of your marketing, and find out what your fans are saying—and where they are saying it. RockDex Pro helps you capitalize on a valuable and too often overlooked asset: Your Data.
Tracks on a Map - Listen to the world's music
Next Big Sound - Track how fans interact with online music
We’re tracking the number of plays, views, fans, comments, mentions, and other key metrics for 490,606 artists across major web properties like Facebook, MySpace, Last.fm, Twitter, and more. Keep up to date on artists you care about by having their stats emailed to you. Choose between weekly and daily reports, and set exactly what time you want them to arrive. Or grab an artist’s RSS feed.
BBC Radio: Radio Waves
What kinds of music does BBC radio play? Which bands are played most? Which DJs play 70s music? Radio Waves is a prototype visualisation that takes data about music played recently on BBC Radio and creates a time profile for any individual radio network, musical genre or radio show. The graph shows, year by year, how many albums were released by the artists recently played on BBC Radio.
Music Xray
Music Xray is combining everything you need to measure, monitor and grow market demand for songs into a unique, ad-free song capsule.
Band Metrics
Understand your fans, gauge the popularity of your music and manage your band’s digital identity
Band Metrics helps musicians and bands analyze and measure the success of their music.
BigBookSearch
Big Book Search helps you find exactly what you’re looking for! Browse books, CDs, DVDs, and more, by their cover. High resolution cover images provided by Amazon.
Audiozue
Audiozue provides you with the ability to post iTunes statistics on your social network profile, website or blog. Widgets are customizable and provide a direct link to the iTunes Store.
Last.fm Normalizer
Normalizer takes the your last.fm username and grabs the XML list of your top 50 artists;
Goes through those artists and grabs album and track data for them from the MusicBrainz web service;
Calculates the average track duration for each artist, using it to estimate how much time you have spent listening to the artist; and sorts the artist list by estimated time.
Your Last.fm in Time
Another tool for visualizing last.fm behavior over time. Unlike the others, it graphs artists based on total cumulative playcounts. Though not as useful or immersive as a histogram, it does provide some interesting insights into behavior.
LastGraph
LastGraph generates a Byron-esque histogram based on your Last.fm profile. The new version includes a variety of cool color schemes.
Playola
Playola is a music similarity browsing tool. You can find new music by moving around in a music “space” and listening to songs (or short clips) that are nearby in the space. Recommendations are given based on various audio characteristics. As you listen, you can give feedback on whether or not you agree with the similarity matching.
Burst Labs
A very slick flash-based application that allows you to visually discover music in the Burst catalog based on keywords, genres, moods and instruments.
MusicLens
MusicLens provides recommendations using a variety of audio characteristics such as tempo, gender, mood, etc. As you move the characteristic sliders up and down, MusicLens provides dynamic set of song results.
MyStrands Playlist Mapping
MyStrands labs has created a tool that provides recommendations based on songs in a playlist. Once you select a playlist, MyStrands will generate a map. You can filter your recommendations by one or multiple genres. You can hear sample of songs but they unfortunately play in an eternal media player instead of inline.
Touchgraph
Another album-based visualization and tool for the Amazon catalog. Unlike many other examples in this space, touchgraph provides considerable control over the results both from a data and presentation perspective.
Amaznode
This is a pretty cool tool for exploring Amazon’s product catalog. Just type in the name of an artist and select music from the menu. Amaznode will return a fairly large group of related albums. Each node is represented by album art. Rollover the art to see the name of the album and click it to get details, add to your cart or visit the related Amazon page.
JSViz
JSViz is another album-based recommendation system using a mind-map style model. Nodes are represented by circular album art
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