It seems like a lot of people are using micro services that are hosted by a third party vendor to process various bits of natural language processing and other tasks that typically get lumped into the “Machine Learning” bucket. But there are a lot of environments that need self-contained systems. Especially when it’s simple to build a small project to do a task using something like Python’s nltk, but when you start hammering those microservices you build with those tools you start to feel how their ease-of-use can make them a bit more sluggish than purpose-built tooling (I guess that’s true for everything in software development). So let’s look at…