Taverna workbench - open source workflow system. Article “Apache Taverna” in English Wikipedia has 37.3 points for quality (as of July 1, 2025). The article contains 25 references and 3 sections.
Since the creation of article “Apache Taverna”, its content was written by 45 registered users of English Wikipedia and edited by 45 registered Wikipedia users in all languages.
The article is cited 185 times in English Wikipedia and cited 185 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 | English: #653441 04.2012 |
Global: #1096891 12.2009 |
| Best Rank | English: #135918 04.2020 |
Global: #399384 12.2006 |
On 13 October 2025 in multilingual Wikipedia, Internet users most often read articles on the following topics: Diane Keaton, Ed Gein, 2026 FIFA World Cup qualification, 2026 FIFA World Cup, 2026 FIFA World Cup qualification (UEFA), Ian Watkins, 2026 FIFA World Cup qualification (CAF), Ilse Koch, Donald Trump, ChatGPT.
In English Wikipedia the most popular articles on that day were: Ed Gein, Diane Keaton, Ian Watkins (Lostprophets singer), Google Chrome, Kantara: Chapter 1, Columbus Day, Justin Trudeau, 2026 FIFA World Cup qualification, Dennis Rader, Deaths in 2025.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(28.33+20.33+42.86+21.43+73.74)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
