<story><title>The Accelerating Adoption of Julia</title><url>https://lwn.net/SubscriberLink/834571/e8d7adc0d9b669bc/</url></story><parent_chain></parent_chain><comment><author>jrevels</author><text>I think one of Julia&amp;#x27;s greatest indicators of long-term success is the variety of commercial users&amp;#x2F;companies from a diverse pool of technical domains&amp;#x2F;industries that are all excited, willing, and capable of contributing back to the ecosystem.&lt;p&gt;We had a BoF at this year&amp;#x27;s JuliaCon revolving around this topic [1] and are now planning the first Annual Industry Julia Users Contributhon as a result.&lt;p&gt;I especially think that well-configured Julia + K8s setups have the capacity to really tighten exploratory data science &amp;lt;-&amp;gt; operational data engineering feedback loops in industrial settings in a way that is much more ergonomic, generically useful, and portable&amp;#x2F;extensible than using pre-baked frameworks to achieve something similar. Julia-centric tooling for coarse-grained workflow orchestration, experiment tracking, data provenance, etc. would be nice, though I also think existing generic tools in this vein (e.g. Argo) could probably compose well too :)&lt;p&gt;A few different companies have nice in-house implementations of these kinds of setups, and Julia Computing is building a nice looking commercial product suite in this vein that I look forward to exploring more in the future (especially JuliaHub and JuliaRun).&lt;p&gt;[1] &lt;a href=&quot;https:&amp;#x2F;&amp;#x2F;julialang.org&amp;#x2F;blog&amp;#x2F;2020&amp;#x2F;09&amp;#x2F;juliacon-2020-open-source-bof-follow-up&amp;#x2F;&quot; rel=&quot;nofollow&quot;&gt;https:&amp;#x2F;&amp;#x2F;julialang.org&amp;#x2F;blog&amp;#x2F;2020&amp;#x2F;09&amp;#x2F;juliacon-2020-open-source...&lt;/a&gt;</text></comment>
<story><title>The Accelerating Adoption of Julia</title><url>https://lwn.net/SubscriberLink/834571/e8d7adc0d9b669bc/</url></story><parent_chain></parent_chain><comment><author>outlace</author><text>Julia as a whole still lags behind Python or Matlab (unsurprising given the age difference) but there are some packages in Julia that just steal the show compared to Python et al, such as the SciML packages and the probabilistic programming packages. I switched to Julia for Turing.jl when I was previously using Pyro. Much happier with Julia.</text></comment>