pypi.org

The Python Package Index, abbreviated as PyPI and also known as the Cheese Shop, is the official third-party software repository for Python. It is analogous to CPAN, the repository for Perl. Some package managers, including pip, use PyPI as the default source for packages and their dependencies. Over 235,000 Python packages can be accessed through PyPI. More information...

Multilingual Wikipedia

In June 2020 the website pypi.org was on the 11,086th place in the ranking of the most reliable and popular sources in multilingual Wikipedia from readers' point of view (PR-score). If we consider only frequency of appearance of this source in references of Wikipedia articles (F-score), this website was on the 693rd place in June 2020. From Wikipedians' point of view, "pypi.org" is the 1,690th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before bcn.es and after tottori.lg.jp in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
11,086th place
2,627,198
-107,546
AR-score:
1,690th place
3,038,042
+375
F-score:
693rd place
21,296
+1

Min Nan Wikipedia (zh-min-nan)

PR-score:
3rd place
2,135,750
-20,550
AR-score:
3rd place
3,014,200
0
F-score:
3rd place
21,247
0

English Wikipedia (en)

PR-score:
30,464th place
391,261
-72,411
AR-score:
93,636th place
12,336
-25
F-score:
99,569th place
23
0

Chinese Wikipedia (zh)

PR-score:
17,194th place
40,172
-9,778
AR-score:
41,075th place
1,145
0
F-score:
38,948th place
5
0

German Wikipedia (de)

PR-score:
62,084th place
18,203
-2,147
AR-score:
29,696th place
8,256
0
F-score:
90,211th place
4
0

Japanese Wikipedia (ja)

PR-score:
55,879th place
13,627
-2,774
AR-score:
112,324th place
365
0
F-score:
109,205th place
2
0

French Wikipedia (fr)

PR-score:
87,062nd place
7,180
+3,864
AR-score:
173,579th place
633
+400
F-score:
119,434th place
3
+1
Show all Wikipedia languages...

BestRef shows popularity and reliability scores for sources in references of Wikipedia articles in different languages. Data extraction based on complex method using Wikimedia dumps. To find the most popular and reliable sources we used information about over 200 million references of Wikipedia articles. More details...