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by ChrisRackauckas 1798 days ago
Julia Computing is not a services company. There are commercial products built off of this stack which are the core of Julia Computing. For example, https://pumas.ai/ is a product for pharmacology modeling and simulation, and runs on the JuliaHub cloud platform of Julia Computing. It is already a big deal in the industry, with the quote everyone refers to "Pumas has emerged as our 'go-to' tool for most of our analyses in recent months" from the Director Head of Clinical Pharmacology and Pharmacometrics at Moderna Therepeutics during 2020 (for details, see the full approved press release from the Pumas.ai website). JuliaSim is another major product which is being released soon, along with JuliaSPICE publicly in the pipeline.

But indeed, Julia Computing differentiates itself from something like MATLAB or Mathematica by leveraging a strong open source community on which these products are developed. These products add a lot of the details that are generally lacking in the open source space, such as strong adherents to file formats, regulatory compliance and validation, GUIs, etc. which are required to take such a product from "this guy can use it" to a fully marketable product usable by non-computational scientists. I will elaborate a bit more on this at JuliaCon next week in my talk on the release of JuliaSim.
1 comments
codekilla 1798 days ago
Wanted to ask if JuliaDB is something that might get more development attention? Or will that remain a community project? (I see it’s been in need of a release for awhile.)
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ChrisRackauckas 1798 days ago
It is not in our current set of major products. That said, informal office discussions mentioned JuliaDB as recently as last week, so it's not forgotten. If there's a demonstrated market, say a need for new high-performance cloud data science tools as part of the pharmaceutical domains we work in, then something like JuliaDB could possibly be revived in the future (of course, this is no guarantee).
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ViralBShah 1798 days ago
In general, the community has discussed reviving the project (or at least the ideas and some of its codebase). Julia computing will also be contributing as part of that revival.
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codekilla 1798 days ago
Thank you both for the comments. I believe I remember early on there were some comparisons to kdb+/q. I think there is some pretty great potential with an offering like this (an in-memory database integrated with the language, coupled with solid static storage) from the Julia community going forward. I can envision some use cases in genomics/transcriptomics.
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