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Self-respecting language geeks keep up with the times. What's your case for "leading open-source"? Here's a look at Spacy blowing Stanford Core NLP out of the water (via github stars, you can take a look at commits and more from the same tool): https://www.datascience.com/trends?trends=4812,7214,7165&tre...

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Actually I don't follow any of these tools closely to know whether they're currently "leading" or not.

It's just that, wording-wise "the leading open source X" exudes marketing-speak, which I find language geeks tend to have robust antibodies against.

This kind of lingo work (sort of) for the market, say, MongoDB is in. But for the users of these tools, I suspect not so much.

When a new tool is announced, there is a lot of casual interest. Hence the 'explosion' in the beginning. After some time, things reach steady-state, and you can see that Spacy's interest is starting to fall below Core NLP's in the last few weeks.

In other words: Spacy is sinking.

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