fftw.org

The Fastest Fourier Transform in the West is a software library for computing discrete Fourier transforms developed by Matteo Frigo and Steven G. Johnson at the Massachusetts Institute of Technology. More information...

Multilingual Wikipedia

In June 2020 the website fftw.org was on the 40,574th 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 137,089th place in June 2020. From Wikipedians' point of view, "fftw.org" is the 114,384th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before med.govt.nz and after orings.com in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
40,574th place
567,407
-66,162
AR-score:
114,384th place
23,151
-29
F-score:
137,089th place
49
0

English Wikipedia (en)

PR-score:
24,795th place
497,177
-66,548
AR-score:
65,713th place
18,625
-62
F-score:
81,657th place
29
0

Russian Wikipedia (ru)

PR-score:
33,947th place
43,350
+134
AR-score:
76,963rd place
1,566
0
F-score:
102,967th place
3
0

Japanese Wikipedia (ja)

PR-score:
57,956th place
12,771
+271
AR-score:
77,282nd place
785
0
F-score:
57,293rd place
5
0

French Wikipedia (fr)

PR-score:
97,136th place
5,976
-1,553
AR-score:
102,253rd place
1,488
0
F-score:
213,900th place
1
0

Polish Wikipedia (pl)

PR-score:
39,644th place
5,975
+1,438
AR-score:
95,060th place
312
0
F-score:
37,037th place
6
0

Portuguese Wikipedia (pt)

PR-score:
108,866th place
1,307
+80
AR-score:
192,896th place
39
0
F-score:
129,015th place
1
0

Chinese Wikipedia (zh)

PR-score:
134,121st place
550
+50
AR-score:
139,729th place
100
0
F-score:
95,558th place
2
0

Catalan Wikipedia (ca)

PR-score:
41,467th place
300
-33
AR-score:
62,947th place
233
+33
F-score:
56,773rd place
2
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...