[SciPy-User] Scikits statuses?
klo uo
klonuo at gmail.com
Tue Dec 18 22:00:28 EST 2012
On Wed, Dec 19, 2012 at 3:31 AM, klo uo <klonuo at gmail.com> wrote:
> If I make it, I'll post corrected plot, just because it would be corrected.
>
> Here is code that takes in consideration all available pypi version and
different packaging for each version:
========================================
dat = {}
for kit in kits:
try:
if not 'scikit' in kit: # help pypi find the right package
kit = 'scikits.' + kit
k = pypi.search({'name':kit})[-1]
versions = pypi.package_releases(k['name'], 1)
dl = 0
for v in versions:
d = pypi.release_urls(k['name'], v)
for package in d:
dl += package['downloads']
dat[kit] = {'name':k['name'], 'last_version':k['version'],
'versions':versions,
'upload_time':d[0]['upload_time'], 'downloads':dl}
except IndexError: # package either not in pypi or w/o release urls
print kit.replace('scikits.', '')
========================================
I added 'statsmodels' w/o scikit prefix by hand. Here is resultant table
with overall d/l count (and plot is in attachment):
scikits.fitting 894 ['0.5.1', '0.5']
scikits.cuda 1765 ['0.041', '0.04']
scikit-aero 111 ['0.1']
scikit-commpy 469 ['0.1.0']
scikits.samplerate 5480 ['0.3.3', '0.3.2', '0.3.1', '0.3.0']
scikits.bvp_solver 9395 ['1.1', '0.3.0', '0.2.5', '0.2.4', '0.2.3',
'0.2.2']
scikit-fmm 2357 ['0.0.4', '0.0.3', '0.0.2', '0.0.1']
scikit-rf 2737 ['0.12', '0.11', '0.1']
scikits.statsmodels 18853 ['0.3.1', '0.3.0rc1', '0.3.0', '0.2.0',
'0.1.0b1']
scikits.optimization 2184 ['0.2', '0.1']
scikits.audiolab 20368 ['0.11.0', '0.10.2', '0.10.1', '0.10.0',
'0.9.0', '0.8']
scikits.talkbox 7761 ['0.2.5', '0.2.4.dev', '0.2.3', '0.2.2',
'0.2.1', '0.2']
scikits.datasmooth 1588 ['0.61', '0.5']
scikit-image 1329 ['0.7.2']
scikits-image 7743 ['0.7.1', '0.7.0', '0.6.1', '0.6', '0.5',
'0.4.2', '0.4.1']
scikit-vi 316 ['0.1']
scikits.vectorplot 2010 ['0.1.1', '0.1']
scikits.ann 8243 ['0.2.dev-r803', '0.2.dev-r801',
'0.2.dev-r800']
scikits.scattpy 555 ['0.1.1', '0.1.0']
scikit-learn 39756 ['0.12.1', '0.12', '0.11', '0.10', '0.9']
scikits.sparse 1012 ['0.1']
scikits.example 2833 ['0.1']
statsmodels 12091 ['0.4.3', '0.4.1', '0.4.0rc2', '0.4.0']
scikits.bvp1lg 1117 ['0.2.5']
scikits.learn 7166 ['0.8.1']
[image: Inline image 1]
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