sourceforge.net

SourceForge is a web-based service that offers software developers a centralized online location to control and manage free and open-source software projects. It provides a source code repository, bug tracking, mirroring of downloads for load balancing, a wiki for documentation, developer and user mailing lists, user-support forums, user-written reviews and ratings, a news bulletin, micro-blog for publishing project updates, and other features. More information...

Multilingual Wikipedia

In June 2020 the website sourceforge.net was on the 625th 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 1,579th place in June 2020. From Wikipedians' point of view, "sourceforge.net" is the 739th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before caltech.edu and after fbi.gov in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
625th place
59,237,679
-8,497,038
AR-score:
739th place
6,684,502
-28,866
F-score:
1,579th place
9,806
+14

English Wikipedia (en)

PR-score:
564th place
36,838,702
-5,474,897
AR-score:
674th place
3,228,974
-25,837
F-score:
1,317th place
3,713
-33

Russian Wikipedia (ru)

PR-score:
397th place
5,324,196
-986,321
AR-score:
375th place
531,929
-4,175
F-score:
1,204th place
646
+1

German Wikipedia (de)

PR-score:
480th place
4,236,046
-365,605
AR-score:
429th place
763,623
-2,072
F-score:
1,023rd place
670
0

Spanish Wikipedia (es)

PR-score:
809th place
2,984,698
-600,972
AR-score:
831st place
363,453
-686
F-score:
1,290th place
560
+1

French Wikipedia (fr)

PR-score:
558th place
2,876,980
-473,433
AR-score:
702nd place
437,098
+2,189
F-score:
1,913th place
443
+7
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...