French Wikipedia

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Popular articles in April 2019 (1-100)

# Changes Title Quality
10France
100.0
20-
1.4855
30Comptabilité
18.8296
4+6Game of Thrones
96.3727
5-1Accueil
2.5082
6+121Saison 8 de Game of Thrones
43.9725
7-1Kayden Boche
44.9148
8+324Cathédrale Notre-Dame de Paris
88.8588
9+99991Décès en avril 2019
10.7069
10+6Erreur HTTP 404
33.5697
11+21Alfred Werner Maurer
18.8237
12+31Angèle (chanteuse)
39.8624
13+99987Vault 7
38.3373
14+13Élections européennes de 2019 en France
71.5792
15-2Google
95.3819
16-7Victor Hugo
96.9109
17+609PNL (groupe)
49.437
18+6Saison 15 de Grey's Anatomy
49.6541
19+57Gmail
53.124
20-5YouTube
100.0
210Juan Branco
61.5423
22-4Paris
92.8115
23-11Molière
97.7463
24+38Sondages sur les élections européennes de 2019
58.6141
25-5Wiki
31.582
26-15Technologies de l'information et de la communication
68.5856
27+319Pâques
49.3602
28-2Facebook
93.7485
29+227Saison 7 de Game of Thrones
65.0956
30-13Tableau périodique des éléments
60.926
31+9Liste des départements français
79.7857
32+7Léonard de Vinci
100.0
33+38Avengers: Endgame
61.792
34-4Jacques Chirac
90.758
35-16Lua Blanco
22.019
36+6Google Chrome
76.8507
37+14Arthur Rimbaud
91.1194
38-3Décès en 2019
1.4598
39+145Listes françaises aux élections européennes de 2019
94.8183
40+5Liste des films de l'univers cinématographique Marvel
80.6283
41+9Univers cinématographique Marvel
69.7653
42+2Emmanuel Macron
100.0
43-14États-Unis
89.4528
44+3Liste des épisodes de One Piece
18.973
45-17Albert Einstein
83.8012
46-8Saison 9 de The Walking Dead
66.6932
47+5Union européenne
94.7725
48-7Null
13.6609
49+174Roméo Elvis
34.9414
50+6Jean-Marie Le Pen
98.9291
51+42Michel-Ange
55.5319
52+361Emilia Clarke
58.3812
53-17Liste des épisodes de Naruto Shippuden
84.0
54-20Napoléon Ier
87.0461
55+10Lionel Messi
100.0
56+14Tour Eiffel
75.7108
57+34122Christian Quesada
32.7466
58+99942Le Voyage de Kuro
11.974
59-4Liste des codes HTTP
17.2715
60+99940Incendie de Notre-Dame de Paris
100.0
61-7Cristiano Ronaldo
95.5544
62-9The Walking Dead (série télévisée)
99.0601
63-55Freddie Mercury
96.3271
64+217Billie Eilish
47.8903
65+97Animaux domestiques des présidents des États-Unis
52.7084
66-6Louis XIV
92.7653
67+62934European Geostationary Navigation Overlay Service
37.9774
68-5Seconde Guerre mondiale
80.7361
690Netflix
90.6667
70-2Liste d'abréviations en médecine
71.3882
71+3Élisabeth II
100.0
72-15Nelson Mandela
100.0
73-1Adolf Hitler
92.5408
74-15Christophe Colomb
79.1064
75+75Girafe
57.1762
76+13Guillemet
56.9796
77-13Canada
86.9099
78+2Bernadette Chirac
51.8552
79-31Ludwig van Beethoven
75.1615
80+14Régine
39.0322
81+17Liste des indicatifs téléphoniques en France
20.6889
82-15Google Traduction
30.2714
83-8Service fédéral de renseignement
38.8114
84-38Algérie
93.1191
85+3Département français
88.0
86+975Personnages de Game of Thrones
67.5044
87-73Livre numérique
60.1775
88+7Écart type
61.8642
89+3Région française
92.9935
90-53Kylian Mbappé
85.1973
91-8Charles de Gaulle
89.9047
92-8Suisse
93.2939
93-11Belgique
79.2947
94+9CAT
19.3789
95+2519Capitaine Marleau
39.0566
96+12Charles Baudelaire
72.1169
97-36Ligue des champions de l'UEFA
68.5559
98-2Maroc
89.0707
99+291Manon Aubry
24.738
100-34Voltaire
84.768
1-100 | 101-200 | 201-300 > >>

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About WikiRank

The project is intended for automatic relative evaluation of the articles in the various language versions of Wikipedia. At the moment the service allows to compare over 38 million Wikipedia articles in 55 languages. Quality scores of articles are based on Wikipedia dumps from May, 2019. When calculating popularity, view statistics of articles for last month (April 2019) were taken into account.

You can also visit WikiRank.Live (previous version of the main tool), which can calculate quality and popularity based on current versions of Wikipedia articles in 7 languages.

It's planned to add different improvements to the project (such as adding to the analysis not only new quantitative characteristics, but also qualitative). In addition, it is planned to add estimates using machine learning algorithms and artificial intelligence, as well as based on the results of user comparison of specific multilingual information (for example, the WikiBest project). Please leave your comments and suggestions

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