opengl.org

OpenGL is a cross-language, cross-platform application programming interface for rendering 2D and 3D vector graphics. The API is typically used to interact with a graphics processing unit, to achieve hardware-accelerated rendering. More information...

Multilingual Wikipedia

In June 2020 the website opengl.org was on the 12,354th 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 34,962nd place in June 2020. From Wikipedians' point of view, "opengl.org" is the 20,259th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before pg.com and after danskefilm.dk in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
12,354th place
2,321,318
-426,881
AR-score:
20,259th place
181,837
+252
F-score:
34,962nd place
270
0

English Wikipedia (en)

PR-score:
12,905th place
1,074,084
-219,324
AR-score:
24,004th place
61,275
+126
F-score:
53,945th place
49
0

Russian Wikipedia (ru)

PR-score:
5,251st place
372,267
-91,043
AR-score:
7,064th place
26,616
+28
F-score:
19,017th place
28
0

German Wikipedia (de)

PR-score:
5,950th place
283,411
-30,804
AR-score:
7,353rd place
36,650
0
F-score:
22,069th place
21
0

Spanish Wikipedia (es)

PR-score:
12,815th place
146,597
-27,664
AR-score:
24,494th place
7,713
+57
F-score:
17,040th place
25
0

Chinese Wikipedia (zh)

PR-score:
7,422nd place
114,159
+1,167
AR-score:
15,606th place
3,886
0
F-score:
32,295th place
6
0

Portuguese Wikipedia (pt)

PR-score:
6,722nd place
100,800
-17,483
AR-score:
12,294th place
7,033
0
F-score:
36,309th place
6
0

Ukrainian Wikipedia (uk)

PR-score:
4,650th place
24,197
-6,715
AR-score:
7,643rd place
4,003
0
F-score:
6,002nd place
30
0
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...