While there was a little bit of a shake-up internally within the Top 5 in September compared to previous months, the players mostly look familiar. At the top, React claimed its sixteenth win in a row, a streak that began in June, 2017. Following up in second as usual, Python continued its own streak. Making a first appearance in the Top 5 was "Full Stack", proving that the term is still alive and well. Rounding out the top 5 was node.js, its first Top 5 finish since May.
For most months, this post examines technologies across the sprectrum of software development, from languages to frameworks to products. And, that data is all still here for you to examine as well. But, I thought it would be interesting to take a look at the state of Programming Languages specifically as their trends can often be obscured in the overall analysis.
The Go Programming Language (golang) made its first appearance in the Top 10 and is now the third most popular programming language in the rankings. Go jumped over both Java and Ruby this month. First released in 2012, Go has climbed steadily as its popularity grows, and was mentioned in over 10% of postings in April.
As React wins its ninth month in a row, it appears that we're settling in for a bit of stability at the top of the rankings. The one trend of note in the top 10 is Postgresql entering the top 5, but it has been there before, so it's not a strong threat to keep climbing higher.
React continues its win streak into the new year with a strong showing again. With 8 wins in a row and another near 25% rate of mention, what will it take for another technology to catch React?
React reached the #1 spot in the rankings back in June, overtaking Python, and has not let go since. December marks React's seventh win in a row. More than just win though, React had its largest margin of victory and came close to being mentioned in 25% of the postings.
These charts show what's popular and trending in programming languages, frameworks and technologies used to develop modern software applications as indicated by Hacker News activity. Using the HN Search API and a dictionary of software terms, all of the the comments (job postings) in the "whoishiring" submissions from April 2011 to the latest month were processed to count the number of times each software term was mentioned.
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