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README

Pyechonest

Tap into The Echo Nest's Musical Brain for the best music search, information, recommendations and remix tools on the web.

Pyechonest is an open source Python library for the Echo Nest API. With Pyechonest you have Python access to the entire set of API methods including:

  • artist - search for artists by name, description, or attribute, and get back detailed information about any artist including audio, similar artists, blogs, familiarity, hotttnesss, news, reviews, urls and video.
  • song - search songs by artist, title, description, or attribute (tempo, duration, etc) and get detailed information back about each song, such as hotttnesss, audio_summary, or tracks.
  • track - upload a track to the Echo Nest and receive summary information about the track including key, duration, mode, tempo, time signature along with detailed track info including timbre, pitch, rhythm and loudness information.

Install

There are a few different ways you can install pyechonest:

  • Use setuptools: easy_install -U pyechonest
  • Download the zipfile from the releases page and install it.
  • Checkout the source: git clone git://github.com/echonest/pyechonest.git and install it yourself.

Getting Started

  • Install Pyechonest
  • Get an API key - to use the Echo Nest API you need an Echo Nest API key. You can get one for free at developer.echonest.com.
  • Set the API key - you can do this one of two ways:
  • set an environment variable named ECHO_NEST_API_KEY to your API key
  • Include this snippet of code at the beginning of your python scripts:
    from pyechonest import config
    config.ECHO_NEST_API_KEY="YOUR API KEY"
  • Check out the docs and examples below.

Examples

All examples assume you have already setup your api key!

Find artists that are similar to 'Bikini Kill':

from pyechonest import artist
bk = artist.Artist('bikini kill')
print "Artists similar to: %s:" % (bk.name,)
for similar_artist in bk.similar: print "\t%s" % (similar_artist.name,)

Search for artist:

from pyechonest import artist
weezer_results = artist.search(name='weezer')
weezer = weezer_results[0]
weezer_blogs = weezer.blogs
print 'Blogs about weezer:', [blog.get('url') for blog in weezer_blogs]

Get an artist by name:

from pyechonest import artist
a = artist.Artist('lady gaga')
print a.id

Get an artist by Musicbrainz ID:

from pyechonest import artist
a = artist.Artist('musicbrainz:artist:a74b1b7f-71a5-4011-9441-d0b5e4122711')
print a.name

Get the top hottt artists:

from pyechonest import artist
for hottt_artist in artist.top_hottt():
print hottt_artist.name, hottt_artist.hotttnesss

Search for songs:

from pyechonest import song
rkp_results = song.search(artist='radiohead', title='karma police')
karma_police = rkp_results[0]
print karma_police.artist_location
print 'tempo:',karma_police.audio_summary['tempo'],'duration:',karma_police.audio_summary['duration']

Get a song's audio_url and analysis_url:

from pyechonest import song
ss_results = song.search(artist='the national', title='slow show', buckets=['id:7digital-US', 'tracks'], limit=True)
slow_show = ss_results[0]
ss_tracks = slow_show.get_tracks('7digital-US')
print ss_tracks[0].get('preview_url')

-alt text

Core symbols most depended-on inside this repo

get_attribute
called by 48
pyechonest/proxies.py
update
called by 19
pyechonest/catalog.py
info
called by 8
pyechonest/playlist.py
_getIndention
called by 4
examples/try_new_things.py
start
called by 3
examples/try_new_things.py
end
called by 3
examples/try_new_things.py
elem
called by 3
examples/try_new_things.py
_makeTag
called by 3
examples/try_new_things.py

Shape

Method 94
Function 45
Class 19

Languages

Python100%

Modules by API surface

pyechonest/artist.py30 symbols
pyechonest/proxies.py22 symbols
pyechonest/catalog.py20 symbols
pyechonest/playlist.py18 symbols
pyechonest/util.py17 symbols
pyechonest/song.py16 symbols
pyechonest/track.py14 symbols
examples/try_new_things.py11 symbols
examples/show_attrs.py4 symbols
pyechonest/sandbox.py2 symbols
doc/source/conf.py2 symbols
setup.py1 symbols

For agents

$ claude mcp add pyechonest \
  -- python -m otcore.mcp_server <graph>

⬇ download graph artifact