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Honest question, if its so great an ecosystem why is it not adopted more? I can cite some easily available public stats: Scholar, which is compared to numpy, h

Honest question, if its so great an ecosystem why is it not adopted more? I can cite some easily available public stats: Scholar, which is compared to numpy, has like 0.001% of its popularity. (While there are rumors people buy likes on github I doubt this is something affecting the numpy project). Maybe the reason believers in elixir/erlang are more passionate is precisely because there is no obvious reason there isn't major adoption? My best guess is that the missing ingredient are major corporate interests that directly or indirectly are promoting the technology. E.g the usual big tech suspects seem to be absent. For better or worse, they are the ones dangling lucrative jobs prospects etc. But if its a technology delivering the goods people would gravitate to it sooner or later. Would be interested if more informed people can add their insights

dartos 3y ago
Elixir is hard to write (well) and hard to hire for because it lacks the network effect. The ruby community it aimed at initially already moved to go and JavaScript by the time phoenix became production ready. Erlang is an arcane, hard to understand language which many of the base packages of the elixir ecosystem uses. I think that’s why it’s not as popular as it should be. It’s great though. My go to stack is phoenix nowadays.
jswny 3y ago
Comparing Scholar or any other Elixir ML component is bizarre. Elixir has been around for many years and its ML ecosystem has only existed for the last few. Obviously Python, the most used ML ecosystem in the world, is going to be way more popular than Elixir. ML isn’t even close to the primary use case of Elixir either. This is just a bizarre comparison. Also, Scholar would be equivalent to Sklearn, not Numpy. Nx would be the Numpy equivalent. Scholar has literally only existed for 2 years.

dartos 3y ago

Elixir is hard to write (well) and hard to hire for because it lacks the network effect. The ruby community it aimed at initially already moved to go and JavaScript by the time phoenix became production ready. Erlang is an arcane, hard to understand language which many of the base packages of the elixir ecosystem uses. I think that’s why it’s not as popular as it should be. It’s great though. My go to stack is phoenix nowadays.

jswny 3y ago

Comparing Scholar or any other Elixir ML component is bizarre. Elixir has been around for many years and its ML ecosystem has only existed for the last few. Obviously Python, the most used ML ecosystem in the world, is going to be way more popular than Elixir. ML isn’t even close to the primary use case of Elixir either. This is just a bizarre comparison. Also, Scholar would be equivalent to Sklearn, not Numpy. Nx would be the Numpy equivalent. Scholar has literally only existed for 2 years.