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I think it depends a bit on which in part of the ecosystem you work. I do not do web applications at all, but use Rust for machine learning. Things like ndarray

I think it depends a bit on which in part of the ecosystem you work. I do not do web applications at all, but use Rust for machine learning. Things like ndarray, petgraph, and the Tensorflow bindings have been very stable for me. The only large change that I had to make over the last year due to ecosystem changes was going from error-chain to failure. Of course, this was not strictly necessary, but failure seems to be more popular now and I generally prefer it over error-chain.

rqs 8y ago
> depends a bit on which in part of the ecosystem you work This is also my experience. The feeling towards Rust is highly depends on the dependency of choice. Rust itself is mostly very stable though. I've implemented few pure algorithms in Rust a little over two years ago, and it still compile and runs today without having to change a single letter. Wish one day I can say the same thing to my other Rust projects :)