PyPi interactive dependency graph
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PyPi interactive dependency graph
1–6 of 6 posts
Re: PyPi interactive dependency graph
#2setup tools and django win
Re: PyPi interactive dependency graph
#3It would be nice to be able to search for a package. Also, the graph currently has a node per "dependency", which may be with a pinned version. Maybe it might be even better if it just showed package dependencies? Looking through the structure you can see "interesting" packages, but because a package counts as different if a version is specified it makes it hard to browse through the interesting connections.
Re: PyPi interactive dependency graph
#4I was curious about what the most common dependencies were so I hacked the IPython notebook a bit:
import json, pip, re
from base64 import b64decode
from itertools import chain
from collections import Counter
def get_name(x):
"This captures most of the base names for dependencies"
if x.startswith('#'):
return
try:
return pip.req.InstallRequirement.from_line(re.sub('["\']', '', x)).name.lower()
except ValueError:
return
C = Counter()
data = []
with open('pypi-deps.csv', 'r') as file:
for line in file:
name, version, deps = line.split('\t')
deps = filter(None, map(get_name, json.loads(b64decode(deps))))
data+= [(name, version, deps)]
for x in deps: C[x] += 1
print '\n'.join('{0}\t{1}'.format(*x) for x in C.most_common(20))
setuptools 1949
django 546
zope.interface 244
requests 241
lxml 204
zope.component 203
simplejson 202
flask 158
zc.buildout 127
argparse 110
zope.schema 109
python-dateutil 108
jinja2 105
distribute 104
pyyaml 103
fanstatic 95
beautifulsoup 93
zope.publisher 91
sqlalchemy 91
numpy 89Re: PyPi interactive dependency graph
#5My favorite is:
[x.strip() for x in open("DEPENDENCES.txt").read().split("\n") if x.strip()]Re: PyPi interactive dependency graph
#6It would be interesting if one could trace the dependencies recursively - but knowing how PyPI works, that would be incredibly time- and bandwidth-consuming.
Still, if one had access to a mirror, it could be done...