This software is the 9262nd most popular in the global Wikipedia ranking of software. Article “Tab Candy” in Chinese Wikipedia has 22.7 points for quality (as of July 1, 2025). The article contains 4 references and 2 sections.
Since the creation of article “Tab Candy”, its content was written by 6 registered users of Chinese Wikipedia and edited by 6 registered Wikipedia users in all languages.
Tab Candy is on the 9262nd place in global ranking of software on Wikipedia in all the time.
The article is cited 74 times in Chinese Wikipedia and cited 74 times in all languages.
The highest Authors Interest rank from 2001:
The highest popularity rank from 2008:
There is 1 language version for this article in the WikiRank database (of the considered 55 Wikipedia language editions).
The quality and popularity assessment was based on Wikipédia dumps from July 1, 2025 (including revision history and pageviews for previous years).
| Best Rank | Chinese: #59186 07.2010 |
Global: #3382504 07.2024 |
| Best Rank | Chinese: #8755 08.2010 |
Global: #553414 08.2010 |
On 16 March 2026 in multilingual Wikipedia, Internet users most often read articles on the following topics: 98th Academy Awards, Michael B. Jordan, Sinners, Jessie Buckley, Paul Thomas Anderson, Sean Penn, One Battle After Another, Amy Madigan, Hamnet, Timothée Chalamet.
In Chinese Wikipedia the most popular articles on that day were: 逐玉, 2026年世界棒球經典賽, 一戰再戰, 第98屆奧斯卡金像獎, 臥底嬌娃, 李海銅, 张凌赫, 世界棒球經典賽, 罪人 (2025年電影), 2026年伊朗戰爭.
The WikiRank 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 44 million Wikipedia articles in 55 languages. Quality scores of articles are based on Wikipedia dumps from July, 2025. When calculating current popularity and AI of articles data from June 2025 was taken into account. For historical values of popularity and AI WikiRank used data from 2001 to 2025... More information
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(7.87+3.96+33.33+16.67+51.51)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
