I’ve used Mathematica at university, it’s so great! Creating fractals, animations and so on is so easy and intuitive.
The problem though is that Wolfram is a walled garden. When you think about integrating it in an enterprise environment, you get hit by such high costs, it stops making sense. Imagine if they open sourced it, I feel like their products have so much utility, buried deep down Wolfram ecosystem and conventions.
Wolfram is $4000/seat for a perpetual commercial license with support. [1] $4000 will only buy a middling Mac Tool tool chest…and not the tools to put in it.
It doesn't make sense even for academia. Reproducibility is an issue and as we've seen with recent fraudulent claims in major publications - it's what is going to be used for verification of research.
Many years back while in grad school I could not reproduce a result from a paper. Thankfully they had provided the data as public but not the code. I emailed the authors and got some matlab code back. My university didn't have a matlab subscription. Octave saved me there since the syntax is similar.
But with something like mathematica and the price of it you will never be able to have a wide verification of the result if the software is not free.
Also, a lot of things in industry gain traction first in academia (especially math tools). So unless academic traction is dealt with mathematica's headway in industry will remain limited. They are still a profitable company. So I'm guessing there are deep pocketed clients who purchase the tooling.
Mathematica has a lot of clients in math and engineering. Traditionally these clients are not so concerned about software engineering issues you mention. What Mathematica offers also makes sense for small firms with a few engineers, because they can leverage their vast amount of ready to use functions and libraries. But I agree that for medium to large size companies it stops making sense.
Wolfram did have Visual Studio API integration at one point, and it was useful reducing algorithmic symbolic design complexity. However, it was mostly the academically controversial assumptions that Mathematica makes that undermined its credibility in many faculties.
For example, when digging into GNU Octave you will find many of its libraries were built on peer reviewed legacy code provably reproducible with prior aerospace published works.
The problem with closed source academic programs isn't features or even quality, but rather one of traceable Metrology and scientific rigor. =3
I'm aways surprised that there's no open source language that provides everything you get with Wolfram language. For example, the level of pattern matching you can use when defining functions, as well as the high level of functional composition. It is like having a mix of APL, Lisp, and Prolog that is very productive to use.
From a strict PL perspective, the Wolfram/Mathematica language is rather based on a term rewriting paradigm. The languages Maude, Pure and TXL would be examples of something that's broadly comparable but more generic. In general, it turns out to be a fairly niche paradigm that's not very useful outside of symbolic computing itself, or related fields such as modeling of PL syntax and compiler internals.
> "...the level of pattern matching you can use when defining functions, as well as the high level of functional composition..."
This sounds like your average functional programming language. The Scicloj community is the first thing to come to mind (but I assume they don't do symbolic algebra/calculus like Mathematica does), but I don't know what you're specifically missing.
Its standard library is almost impossible to reproduce in its enterity
If those libraries were like regular code that got published to Github or something like that.. like pypi or npm or crates.io or whatever. And if mathematica had a lean standard library. It would be very feasible to implement a clone that's basically compatible
I mean. Depending on just wolfram rather than random open source contributors has benefits, for example it's more resistant to supply chain attacks. Indeed the npm model is not good. But, it is open, and that's what enabled for example deno and bun to have some compatibility with node
IT doesn't even need to be open source, a walled garden that you can afford is perfectly fine. Someone's going to find the cracks in the wall anyway.
But a walled garden that costs $400 for personal use (we're ignoring yearly licensing, because f that noise) is utter nonsense, and the clearest sign you have no idea how to sell and then upsell products to users over the course of several years.
I'm a huge fan of Mathematica; I've been a subscriber for many years. There's much to love about the product, but its AI assistant isn't among them.
Claude Caude is much better at Mathematica than Wolfram's own AI assistant. I think they flat-out acknowledge the very limited abilities of Mathematica's AI assistant in this version 15 announcement.
The Wolfram AI assistant is so bad I unsubscribed from it. By the sounds of it, a basic AI assistant is offered included with subscriptions now. I feel it's borderline criminal they were charging for their hallucinatory AI assistant in the past.
I saw those and got excited; I've been using Mathematica for decades and do a lot of work with symbolic music.
Unfortunately they are extremely surface level in this release. It looks like there isn't even any ability to load/export MusicXML, kind of weird low level primitives and zero interesting higher level functions. Hopefully they keep iterating on it but I don't think it'll be useful for my workflow right now.
it has the nicest calculator syntax (imho) among the tools i've tried (python/julia/array langs/matlab/etc...) with extensive docs for each function and a nice notebook interface, but i've never written a program in it that was longer than one expression.
I had it in an engineering inner sanctum of Apple. had used it since it came out in 1988 on campus in Illinois, and folks in Apple definitely knew it. Not sure who all was doing what with it.
I used Mathematica on a NeXT computer back in 1991. It was a beautiful machine to work on. I did a student project where I simulated the flow of the boundary of a plane region over time (like how the shape of a drop of oil in water changes over time) and it was very, very easy to write in Mathematica with cool graphics.
Probably the most general-purpose one is SageMath, which is open-source and basically Python with a ton of sophisticated math stuff built into it. Everything I used to do in Mathematica I now do in sage, and I don't think I'm the only one. Probably field-dependent though.
Of course there is a whole constellation of more specialized things in certain fields, that has come a long way in the last 15 years. So people needing things like that no longer kludge things together in Mathematica.
I remember using it in my college days in the 90s.
People joining my company from academia usually know Mathematica along with Python or R.
When we tell them we don’t use Mathematica they are sometimes initially concerned. They are typically quite opinionated and I have yet to hear an employee complain about no longer having access to Mathematica. Or SPSS, SAS, or MiniTab for that matter.
The problem though is that Wolfram is a walled garden. When you think about integrating it in an enterprise environment, you get hit by such high costs, it stops making sense. Imagine if they open sourced it, I feel like their products have so much utility, buried deep down Wolfram ecosystem and conventions.
Reimplementation in Rust: https://github.com/ad-si/Woxi
WLJS Notebook: https://wljs.io
VS Code extension: https://github.com/vanbaalon/wolfbook
[1] a personal perpetual license is only $400.
Many years back while in grad school I could not reproduce a result from a paper. Thankfully they had provided the data as public but not the code. I emailed the authors and got some matlab code back. My university didn't have a matlab subscription. Octave saved me there since the syntax is similar.
But with something like mathematica and the price of it you will never be able to have a wide verification of the result if the software is not free.
Also, a lot of things in industry gain traction first in academia (especially math tools). So unless academic traction is dealt with mathematica's headway in industry will remain limited. They are still a profitable company. So I'm guessing there are deep pocketed clients who purchase the tooling.
For example, when digging into GNU Octave you will find many of its libraries were built on peer reviewed legacy code provably reproducible with prior aerospace published works.
The problem with closed source academic programs isn't features or even quality, but rather one of traceable Metrology and scientific rigor. =3
https://www.statista.com/chart/4111/do-europeans-wash-their-...
This sounds like your average functional programming language. The Scicloj community is the first thing to come to mind (but I assume they don't do symbolic algebra/calculus like Mathematica does), but I don't know what you're specifically missing.
Its standard library is almost impossible to reproduce in its enterity
If those libraries were like regular code that got published to Github or something like that.. like pypi or npm or crates.io or whatever. And if mathematica had a lean standard library. It would be very feasible to implement a clone that's basically compatible
I mean. Depending on just wolfram rather than random open source contributors has benefits, for example it's more resistant to supply chain attacks. Indeed the npm model is not good. But, it is open, and that's what enabled for example deno and bun to have some compatibility with node
But a walled garden that costs $400 for personal use (we're ignoring yearly licensing, because f that noise) is utter nonsense, and the clearest sign you have no idea how to sell and then upsell products to users over the course of several years.
Claude Caude is much better at Mathematica than Wolfram's own AI assistant. I think they flat-out acknowledge the very limited abilities of Mathematica's AI assistant in this version 15 announcement.
The Wolfram AI assistant is so bad I unsubscribed from it. By the sounds of it, a basic AI assistant is offered included with subscriptions now. I feel it's borderline criminal they were charging for their hallucinatory AI assistant in the past.
But that's fine. Mathematica client supports openrouter as LLM provider anyway so we can use whatever we want.
Reimplementation in Rust: https://github.com/ad-si/Woxi
WLJS Notebook: https://wljs.io
VS Code extension: https://github.com/vanbaalon/wolfbook
Unfortunately they are extremely surface level in this release. It looks like there isn't even any ability to load/export MusicXML, kind of weird low level primitives and zero interesting higher level functions. Hopefully they keep iterating on it but I don't think it'll be useful for my workflow right now.
SJ recommended some of the UI bits of the notebook. Particularly the separators between cells.
Of course there is a whole constellation of more specialized things in certain fields, that has come a long way in the last 15 years. So people needing things like that no longer kludge things together in Mathematica.
People joining my company from academia usually know Mathematica along with Python or R.
When we tell them we don’t use Mathematica they are sometimes initially concerned. They are typically quite opinionated and I have yet to hear an employee complain about no longer having access to Mathematica. Or SPSS, SAS, or MiniTab for that matter.