mesa3d.org

Mesa, also called Mesa3D and The Mesa 3D Graphics Library, is an open source software implementation of OpenGL, Vulkan, and other graphics API specifications. Mesa translates these specifications to vendor-specific graphics hardware drivers. More information...

Multilingual Wikipedia

In June 2020 the website mesa3d.org was on the 52,489th 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 43,087th place in June 2020. From Wikipedians' point of view, "mesa3d.org" is the 61,067th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before moscow-post.com and after lw.com in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
52,489th place
419,654
-42,450
AR-score:
61,067th place
48,905
+364
F-score:
43,087th place
209
+4

English Wikipedia (en)

PR-score:
33,266th place
352,021
-36,400
AR-score:
46,398th place
28,035
+391
F-score:
22,592nd place
147
+4

French Wikipedia (fr)

PR-score:
27,998th place
34,016
-585
AR-score:
35,470th place
5,219
-4
F-score:
23,155th place
23
0

Polish Wikipedia (pl)

PR-score:
35,182nd place
7,442
-2,758
AR-score:
13,471st place
5,457
0
F-score:
75,116th place
2
0

German Wikipedia (de)

PR-score:
112,108th place
7,201
-1,195
AR-score:
77,752nd place
2,942
-33
F-score:
42,456th place
10
0

Spanish Wikipedia (es)

PR-score:
112,487th place
5,612
+84
AR-score:
69,701st place
2,043
+8
F-score:
128,854th place
2
0

Czech Wikipedia (cs)

PR-score:
35,803rd place
1,378
-950
AR-score:
11,924th place
2,178
0
F-score:
25,637th place
3
0

Portuguese Wikipedia (pt)

PR-score:
120,217th place
965
-221
AR-score:
120,595th place
244
0
F-score:
44,371st place
5
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...