A python script that uses the twitter api to find the most prolific tweeters in your feed.

tweet-by-user.py

#!/usr/bin/python                                                               

import base64
import hmac
import hashlib
import httplib
import json
import random
import string
import sys
import time
import urllib
import urlparse

# Register on https://dev.twitter.com/apps to get yours                         
oauth_consumer_key = "yours"
access_token = "yours"
oauth_consumer_secret = "yours"
access_token_secret = "yours"

def quote(str):
  return urllib.quote(str, '')

def computeOauthSignature(method, url, authParams, params):
  params = params.copy()
  params.update(authParams)
  msg = "&".join(map(lambda p: "%s=%s" % p,
                     sorted(map(lambda p: tuple(map(quote,p)), params.items()),
                            key=lambda p: p[0])))
  msg = "&".join(map(quote, [method, url, msg]))
  signKey = "&".join(map(quote, [oauth_consumer_secret, access_token_secret]))
  return base64.b64encode(hmac.new(signKey, msg, hashlib.sha1).digest())

def callTwitter(method, url, params):
  nonce = ''.join(random.choice(string.ascii_letters + string.digits)
                  for x in range(32))
  authParams = {'oauth_consumer_key': oauth_consumer_key,
  	'oauth_nonce': nonce,
		'oauth_signature_method': 'HMAC-SHA1',
		'oauth_timestamp': str(int(time.time())),
		'oauth_token': access_token,
		'oauth_version': '1.0'}
  authParams['oauth_signature'] = \
      computeOauthSignature(method, url, authParams, params)
  auth = "OAuth " + ', '.join(map(lambda p: '%s="%s"' % tuple(map(quote, p)),
                                  authParams.items()))
  paramStr = urllib.urlencode(params)
  parsedUrl = urlparse.urlparse(url)
  connect = httplib.HTTPSConnection(parsedUrl.hostname)
  # connect.set_debuglevel(1)                                                   
  connect.request(method, parsedUrl.path + "?" + paramStr, None,
                  {'Authorization': auth,
                   'Content-Type': 'application/json',
                   'Accept': '*/*'})
  response = connect.getresponse()
  if response.status != 200:
    print "status", response.status
    print "reason", response.reason
    sys.exit(1)
  return response.read()

timelineUrl = "https://api.twitter.com/1.1/statuses/home_timeline.json"
minId = 1<<62
counts = {}

for i in range(5):
  data = callTwitter("GET", timelineUrl, {'count': '200',
                                          'max_id': str(minId)})
  tweets = json.loads(data)
  for tweet in tweets:
    counts.setdefault(tweet["user"]["screen_name"], set()).add(tweet["id"])
    if tweet['id'] < minId:
      minId = tweet['id']

users = sorted(counts.items(), key=lambda u: -len(u[1]))
for (user,tweets) in users:
  print "%d\t%s" % (len(tweets), user)