fsharp.org

F# is a functional-first, general purpose, strongly typed, multi-paradigm programming language that encompasses functional, imperative, and object-oriented programming methods. F# is most often used as a cross-platform Common Language Infrastructure language on.NET Core, but it can also generate JavaScript and graphics processing unit code. More information...

Multilingual Wikipedia

In June 2020 the website fsharp.org was on the 92,828th 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 131,550th place in June 2020. From Wikipedians' point of view, "fsharp.org" is the 151,925th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before oldbike.eu and after avtodor.su in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
92,828th place
213,008
-43,089
AR-score:
151,925th place
16,524
+23
F-score:
131,550th place
52
0

English Wikipedia (en)

PR-score:
54,361st place
196,667
-40,399
AR-score:
88,338th place
13,177
+23
F-score:
97,510th place
24
0

Japanese Wikipedia (ja)

PR-score:
70,250th place
8,890
-319
AR-score:
94,843rd place
527
0
F-score:
158,273rd place
1
0

Spanish Wikipedia (es)

PR-score:
118,092nd place
5,043
-2,419
AR-score:
154,561st place
518
0
F-score:
216,546th place
1
0

Thai Wikipedia (th)

PR-score:
16,603rd place
1,375
-125
AR-score:
5,502nd place
1,812
0
F-score:
7,442nd place
5
0

Persian Wikipedia (fa)

PR-score:
38,424th place
661
+97
AR-score:
44,427th place
238
0
F-score:
20,231st place
3
0

Serbian Wikipedia (sr)

PR-score:
32,935th place
241
+74
AR-score:
30,470th place
195
0
F-score:
7,286th place
8
0

Malayalam Wikipedia (ml)

PR-score:
11,429th place
127
0
AR-score:
18,272nd place
54
0
F-score:
2,037th place
10
0

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...