Measuring programming language popularity
Various counts have been proposed to indicate a language's popularity, each subject to a different bias over what is measured. These counts include the number of:
- job advertisements that mention the language
- times the language is mentioned in web searches, as with Google Trends
- estimates of lines of code written in the language – (which may underestimate languages not often found in public searches)
- references to the language found using a web search engine
- projects in the language on SourceForge and GitHub
- postings in Usenet newsgroups about the language
- commits or changed source lines for open source projects in the language on Open Hub
- courses on the language sold by programming bootcamps
- students enrolled in programming classes teaching the language around the world
- videos on the language on YouTube
- postings on Reddit or Stack Exchange about the language
This section needs to be updated.(May 2019)
Different Indices calculate a programming language's popularity based on different metrics. For example: The IEEE Spectrum publishes the rankings by taking the data points from an array of matrices including Google, GitHub, Reddit, and Twitter to calculate the overall rank for the 2021 list with keeping in the account factors like job demands, Reliability, and Current trends that sum up to say Python is the top programming language of 2021. Several indices have been published:
- The monthly TIOBE Programming Community Index has been published since 2001, showing the top 10 languages graphically, the top 20 languages with a rating and delta, and the top 50 languages by rating. The numbers are based on searching the Web with certain phrases that include language names and counting the numbers of hits returned. In 2021, the top ranking languages included: C, Python, Java, C++, and C#.
- Trendy Skills searches and extracts from popular advertising websites the skills and technologies that employers are seeking and classifies them in categories, one of which is Programming Languages. It displays trends for one or more skills or categories during specified time ranges. Data is also accessible via a public API, so anyone can generate their own statistics.
- Indeed 2016 survey combed through job listings, identifying mentions of programming languages.
- ^ "SSL/Computer Weekly IT salary survey: finance boom drives IT job growth". ComputerWeekly.com. September 2007. Retrieved 14 June 2013.
- ^ "Jobs Tractor language trends, based on jobs advertised on Twitter". JobsTractor. Archived from the original on 29 June 2013. Retrieved 14 June 2013.
- ^ "Most Popular Programming Languages 2021 Statistics". Self-Starters. Retrieved 10 October 2021.
- ^ Bieman, J.M.; Murdock, V., Finding code on the World Wide Web: a preliminary investigation, Proceedings First IEEE International Workshop on Source Code Analysis and Manipulation, 2001
- ^ "Tiobe Index Definition". TIOBE Software. Retrieved 10 April 2012.
- ^ "Programming Language Usage Graph". Wismuth.com. 31 October 2010. Retrieved 14 March 2017.
- ^ "Trends for the Future". Catb.org. Retrieved 14 March 2017.
- ^ "Language Trends on GitHub · GitHub". github.com. 19 August 2015. Retrieved 14 March 2017.
- ^ "Programming language popularity". Complang.tuwien.ac.at. Retrieved 14 March 2017.
- ^ "Compare Languages". Open Hub. Retrieved 20 January 2017.
- ^ a b c d "Which programming languages are most popular (and what does that even mean)?". ZDNet. Retrieved 16 October 2018.
- ^ "Top 10 Programming languages for 2021: IEEE Says Learn Python". Retrieved 7 September 2021.
- ^ a b "TIOBE Programming Community Index". TIOBE Software BV.
- ^ a b c "PYPL PopularitY of Programming Language index". Pypl.github.io. 22 November 2013. Retrieved 14 March 2017.
- ^ O'Grady, Stephen (19 February 2016). "The RedMonk Programming Language Rankings: January 2016". Redmonk.com. Retrieved 14 March 2017.
- ^ O'Grady, Stephen (5 August 2021). "The RedMonk Programming Language Rankings: June 2021". tecosystems.
- ^ "Trendy Skills". Trendy Skills. 20 January 2012. Retrieved 14 March 2017.
- ^ "The Most Popular Programming Languages of 2016". Blog.newrelic.com. Retrieved 14 March 2017.
- ^ "Stack Overflow Developer Survey 2021". Stack Overflow.
- ^ a b "Top Programming Languages 2021". IEEE Spectrum.
- ^ "IEEE Top Programming Languages: Design, Methods, and Data Sources". IEEE Spectrum. 22 July 2020.
- ^ Cass, Stephen (24 August 2021). "Top Programming Languages 2021". IEEE Spectrum.