[fault1]

Why?

I'll give you my two cents since I've tinkered with both languages extensively (tho I mostly write Python or C++ professionally, and Scala in the past).

I'd say TypeScript has a lot of things that are missing from Julia that are very useful for "data" oriented usages. And vice versa, Julia has a lot of numerical and metaprogramming stuff that is missing or nacient from the JS ecosystem.

I would say that TypeScript makes it a cake to create robust data processing pipelines around the most use data format in the world (which is JSON). I find structural subtyping surprisingly good for anything 'dataset' oriented, especially building up streaming datasets from various APIs and storage mechanisms (e.g, the usual "data engineering") in very robust ways. Julia also lacks interfaces or traits which are important for larger codebases.

Also, the tooling and developer experience is much better in TypeScript. Julia sometimes is like going back in time in that regard.

I have high hopes for Julia but I suspect that anyone who doesn't say that it could use some of TypeScript's features probably has not used TypeScript or JavaScript recently. There is a reason why TypeScript has influenced pretty much every other dynamic language in the last 5 years.

These are all important things when you have a large codebase, or need something robust in production. These are things that Julia has not yet been able to break into. Almost every feature in TypeScript was created to solve problems with JavaScript historically in this regard.

[jsskodof]

I notice you didn't mention any specifics, other than typescript can manipulate jsons - so can every other language in the world (and jsons are _horrible_ for data anyway)

[fault1]

JSON like it or not, is the world's most dominant data exchange format, so much so that processing JSON is a not so insignificant part of all data center CPU cycles.

Julia has one good library for this (JSON3.jl), but it really should be embedded in the language.

Furthermore, Julia has very nice support for multi-dimensional arrays, but it's built in support for dictionaries/hash maps isn't very good, and they might be more prevalent in many types of data processing (certainly in many "big data" types of workloads). There is another third party library for this (Dictionaries.jl) but once again, in practice, JavaScript and TypeScript not only much faster and more optimized for this, but also have better tooling available out of the box.

Again, not a knock on Julia at all, it's great for certain things, but it's important to understand where the ecosystem has gaps are and where things can be learned from other ecosystems.